Sayan Mukherjee

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The use of unlabelled data in predictive modelling

M. West, Fengchao Liang, Sayan Mukherjee, 2006 .

STABILITY RESULTS IN LEARNING THEORY

T. Poggio, Sayan Mukherjee, A. Rakhlin, 2005 .

Bounds on Sample Size for Policy Evaluation in Markov Environments

Leonid Peshkin, Sayan Mukherjee, L. Peshkin, 2001, COLT/EuroCOLT.

General conditions for predictivity in learning theory

T. Poggio, P. Niyogi, Sayan Mukherjee, 2004, Nature.

Statistical Learning: Stability is Sufficient for Generalization and Necessary and Sufficient for Consistency of Empirical Risk Minimization

T. Poggio, P. Niyogi, Sayan Mukherjee, 2002 .

Multiclass cancer diagnosis using tumor gene expression signatures

T. Poggio, J. Mesirov, E. Lander, 2001, Proceedings of the National Academy of Sciences of the United States of America.

Regression and Classification with Regularization

T. Poggio, Sayan Mukherjee, R. Rifkin, 2003 .

Nonlinear prediction of chaotic time series using support vector machines

F. Girosi, Sayan Mukherjee, E. Osuna, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

Learning gradients on manifolds

Ding-Xuan Zhou, Sayan Mukherjee, Qiang Wu, 2010, 1002.4283.

Optimal approximating Markov chains for Bayesian inference

Jonathan C. Mattingly, D. Dunson, Sayan Mukherjee, 2015, 1508.03387.

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Pablo Tamayo, Aravind Subramanian, Sayan Mukherjee, 2005, Proceedings of the National Academy of Sciences of the United States of America.

An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis

J. Mesirov, T. Golub, Sayan Mukherjee, 2005, Nature Genetics.

Statistical Analysis of Crystallization Database Links Protein Physico-Chemical Features with Crystallization Mechanisms

Andrew E. Bruno, Sayan Mukherjee, P. Charbonneau, 2013, PloS one.

On the Noise Model of Support Vector Machines Regression

Massimiliano Pontil, Federico Girosi, Sayan Mukherjee, 2000, ALT.

Learning Gradients and Feature Selection on Manifolds

Ding-Xuan Zhou, Sayan Mukherjee, Qiang Wu, .

Gene expression signatures, clinicopathological features, and individualized therapy in breast cancer.

H. Dressman, J. Nevins, Sayan Mukherjee, 2008, JAMA.

Validation of gene signatures that predict the response of breast cancer to neoadjuvant chemotherapy: a substudy of the EORTC 10994/BIG 00-01 clinical trial.

J. Nevins, Sayan Mukherjee, J. Bergh, 2007, The Lancet. Oncology.

Consistency of regularized sliced inverse regression for kernel models

Sayan Mukherjee, Feng Liang, Qiang Wu, 2008 .

Feature Selection for Face Detection

Thomas Serre, Tomaso Poggio, Sayan Mukherjee, 2000 .

Complexity in synchronized and non-synchronized states: A comparative analysis and application

Santo Banerjee, Sayan Mukherjee, N. A. A. Fataf, 2017, The European Physical Journal Special Topics.

Optimal gene expression analysis by microarrays.

Philip M. Long, Sayan Mukherjee, L. Wong, 2002, Cancer cell.

DNase-seq predicts regions of rotational nucleosome stability across diverse human cell types

T. Furey, Sayan Mukherjee, D. Winter, 2013, Genome research.

Label propagation defines signaling networks associated with recurrently mutated cancer genes

Sayan Mukherjee, Merve Cakir, K. Wood, 2018, Scientific Reports.

Label propagation defines signaling networks associated with recurrently mutated cancer genes

Sayan Mukherjee, Merve Cakir, K. Wood, 2018, bioRxiv.

Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia.

Sayan Mukherjee, N. Patterson, Po-Ru Loh, 2016, American journal of human genetics.

Dissecting High-Dimensional Phenotypes with Bayesian Sparse Factor Analysis of Genetic Covariance Matrices

Sayan Mukherjee, Daniel E. Runcie, Sayan Mukherjee, 2012, Genetics.

Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits

Sayan Mukherjee, M. Megraw, U. Ohler, 2013, Genome Biology.

Cyclin-dependent kinases are regulators and effectors of oscillations driven by a transcription factor network.

Michael B. Mayhew, Sayan Mukherjee, Chenchen Huang, 2012, Molecular cell.

Cross Species Genomic Analysis Identifies a Mouse Model as Undifferentiated Pleomorphic Sarcoma/Malignant Fibrous Histiocytoma

David G. Kirsch, Sayan Mukherjee, Jeffrey K. Mito, 2009, PloS one.

Do serum biomarkers really measure breast cancer

Sayan Mukherjee, Joseph Y Lo, Jonathan L Jesneck, 2009 .

Naught all zeros in sequence count data are the same.

Lawrence A. David, Sayan Mukherjee, J. Silverman, 2020, Computational and structural biotechnology journal.

Measuring and Mitigating PCR Bias in Microbiome Data

Lawrence A. David, Sayan Mukherjee, J. Silverman, 2019, bioRxiv.

Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

Lawrence A. David, Heather K. Durand, Sayan Mukherjee, 2018, Microbiome.

A Predictive Framework for Integrating Disparate Genomic Data Types Using Sample-Specific Gene Set Enrichment Analysis and Multi-Task Learning

T. Furey, Sayan Mukherjee, B. Bennett, 2012, PloS one.

Making Mountains out of Molehills: Moving from Single Gene to Pathway Based Models of Colon Cancer Progression

Sayan Mukherjee, E. Edelman, A. Potti, 2010 .

Multiscale factor models for molecular networks

Sayan Mukherjee, M. Maggioni, J. Guinney, 2009 .

Bayesian Approximate Kernel Regression With Variable Selection

Sayan Mukherjee, Xiaoping Zhou, Lorin Crawford, 2015, Journal of the American Statistical Association.

Retraction: Acharya CR, et al. Gene expression signatures, clinicopathological features, and individualized therapy in breast cancer. JAMA. 2008;299(13):1574-1587.

H. Dressman, J. Nevins, Sayan Mukherjee, 2012, JAMA.

Retraction--Validation of gene signatures that predict the response of breast cancer to neoadjuvant chemotherapy: a substudy of the EORTC 10994/BIG 00-01 clinical trial.

J. Nevins, Sayan Mukherjee, J. Bergh, 2011, The Lancet. Oncology.

RS-SNP: a random-set method for genome-wide association studies

Sayan Mukherjee, A. Latiano, O. Palmieri, 2011, BMC Genomics.

Evidence-ranked motif identification

Sayan Mukherjee, A. Boyle, U. Ohler, 2010, Genome Biology.

Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits

Sayan Mukherjee, Xiaoping Zhou, Lorin Crawford, 2016, bioRxiv.

Transductive Learning via Model Selection

Sayan Mukherjee, L. Wolf, 2004 .

Óùòò× Óò ××ñôðð ××þþ Óö Ôóðð Blockiný Úðùùøøóò Ò Ååööóú Òúúöóòññòø× Ääóòòò È××××ò Òò Ëëýò Åùùùùöööö

L. Peshkin, Sayan Mukherjee, Leonid Peshkin, 2007 .

Scalable Bayesian Kernel Models with Variable Selection

Sayan Mukherjee, Lorin Crawford, K. Wood, 2015 .

Variable Selection and Dimension Reduction by Learning Gradients

Sayan Mukherjee, Qiang Wu, 2008 .

Age-Specific Differences in Oncogenic Pathway Deregulation Seen in Human Breast Tumors

J. Marks, J. Nevins, Sayan Mukherjee, 2008, PloS one.

Towards Stratification Learning through Homology Inference

Sayan Mukherjee, Paul Bendich, Bei Wang, 2010, 1008.3572.

A phylogenetic transform enhances analysis of compositional microbiota data

Lawrence A. David, Sayan Mukherjee, A. Washburne, 2016, bioRxiv.

Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets

Lawrence A. David, Sayan Mukherjee, N. Fierer, 2017, PeerJ.

Differential expression analysis for RNAseq using Poisson mixed models

Xiang Zhou, Qinke Peng, Laura Scott, 2016, bioRxiv.

Selecting Relevant Genes with a Spectral Approach

Lior Wolf, Amnon Shashua, Sayan Mukherjee, 2004 .

Application of Statistical Learning Theory to DNA Microarray Analysis by

Sayan Mukherjee, 2001 .

Randomized Dimension Reduction on Massive Data

Sayan Mukherjee, Stoyan Georgiev, Sayan Mukherjee, 2012 .

Evolution of DNA methylation in Papio baboons

Sayan Mukherjee, J. Rogers, J. Tung, 2018, bioRxiv.

Empirical Study of a Bayesian Kernel Model

M. West, Sayan Mukherjee, Feng Liang, 2022 .

Learning Subspaces of Different Dimension

Sayan Mukherjee, Lizhen Lin, Lek-Heng Lim, 2014, 1404.6841.

Efficient Learning of Mixed Membership Models

Sayan Mukherjee, Zilong Tan, 2017 .

Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder

Sayan Mukherjee, F. Medeiros, S. Berchuck, 2019, Scientific Reports.

Molecule Required for Human Speech Birdsong Decreases Protein Levels of FoxP2, a

Andreas R. Pfenning, Manolis Kellis, Sayan Mukherjee, 2015 .

Characterization of Cardio signals by time-frequency domain analysis

Sayan Mukherjee, S. Palit, Santo Banerjee, 2014, 1409.1547.

Morphological and genomic shifts in mole-rat ‘queens’ increase fecundity but reduce skeletal integrity

Sayan Mukherjee, T. Clutton‐Brock, Leyao Shen, 2020, bioRxiv.

Concerning Two Classes of Non-Diophantine Arithmetics

Sayan Mukherjee, Michele Caprio, A. Aveni, 2022, IS4SI 2021.

Core and region-enriched networks of behaviorally regulated genes and the singing genome

Andreas R. Pfenning, Manolis Kellis, Sayan Mukherjee, 2014, Science.

Genomic features that predict allelic imbalance in humans suggest patterns of constraint on gene expression variation.

Sayan Mukherjee, G. Wray, J. Tung, 2009, Molecular biology and evolution.

Efficacy and Toxicity Assessment of Different Clinically Used Small Molecular Tyrosine Kinase Inhibitors by Computational Molecular Docking Method

Sayan Mukherjee, Gopa Chatterjee, Durjoy, 2016 .

Inferring Network Controls from Topology Using the Chomp Database

Konstantin Mischaikow, John Harer, Sayan Mukherjee, 2015 .

A topological data analytic approach for discovering biophysical signatures in protein dynamics.

Kevin K. Yang, Sayan Mukherjee, Lorin Crawford, 2022, PLoS computational biology.

Extended probabilities and their application to statistical inference

Sayan Mukherjee, Michele Caprio, 2021, 2111.01050.

Gene Expression Programs of Human Smooth Muscle Cells: Tissue-Specific Differentiation and Prognostic Significance in Breast Cancers

T. Hastie, P. Brown, Sayan Mukherjee, 2007, PLoS genetics.

A Digital Network Approach to Infer Sex Behavior in Emerging HIV Epidemics

Sayan Mukherjee, E. Laumann, J. Schneider, 2014, PloS one.

optimization of C Doped Buffer Layer to Minimize Current Collapse in A10.83 I n0.17 N/GaN HEMT by Studying Drain Lag Transients

Sayan Mukherjee, N. Dasgupta, A. DasGupta, 2020, 2020 IEEE Workshop on Wide Bandgap Power Devices and Applications in Asia (WiPDA Asia).

Multiple hypothesis testing with persistent homology

Sayan Mukherjee, M. Vejdemo-Johansson, Mikael Vejdemo-Johansson, 2020, Foundations of Data Science.

Risk Bounds for Density Estimation

D. Panchenko, Sayan Mukherjee, A. Rakhlin, 2003 .

Assessing the Radiation Response of Lung Cancer with Different Gene Mutations Using Genetically Engineered Mice

Sayan Mukherjee, C. Badea, D. Kirsch, 2013, Front. Oncol..

Concentration inequalities and optimal number of layers for stochastic deep neural networks

Sayan Mukherjee, Michele Caprio, 2022, ArXiv.

Phylogenetic factorization of compositional data

Sayan Mukherjee, N. Fierer, J. Leff, 2016, bioRxiv.

Synchrony and idiosyncrasy in the gut microbiome of wild baboons.

Laura E. Grieneisen, Sayan Mukherjee, Ran Blekhman, 2022, Nature ecology & evolution.

Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

Sayan Mukherjee, J. Silverman, R. J. Bloom, 2018, Microbiome.

Universal gut microbial relationships in the gut microbiome of wild baboons

Laura E. Grieneisen, Sayan Mukherjee, Ran Blekhman, 2022, bioRxiv.

Concentration inequalities and optimal number of layers for stochastic deep neural networks

Sayan Mukherjee, Michele Caprio, 2022, ArXiv.

Combinations of DIPs and Dprs control organization of olfactory receptor neuron terminals in Drosophila

Sayan Mukherjee, Corbin D. Jones, Scott Barish, 2018, bioRxiv.

Tight query complexity bounds for learning graph partitions

Sayan Mukherjee, Xizhi Liu, 2021, COLT.

Exploration of stochastic dynamics and complexity in an epidemic system

Sayan Mukherjee, Shaobo He, 2022, The European physical journal. Special topics.

Probabilistic Approach to Parameteric Inverse Problems Using Gibbs Posteriors

Sayan Mukherjee, W. Aquino, You-Hyun Baek, 2022 .

Poisson binomial-based random undersampling scheme for near-surface compressive sensing

Sayan Mukherjee, Yunyue Elita, 2022, Second International Meeting for Applied Geoscience & Energy.

Concentration inequalities and optimal number of layers for stochastic deep neural networks

Sayan Mukherjee, Michele Caprio, 2022, ArXiv.

Predicting Clinical Outcomes in Glioblastoma: An Application of Topological and Functional Data Analysis

Sayan Mukherjee, Lorin Crawford, Anthea Monod, 2016, Journal of the American Statistical Association.

Efficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected Samples

Jenny Tung, Sayan Mukherjee, Xiang Zhou, 2015, Genetics.

Title: Efficient genome-wide sequencing and low coverage pedigree analysis from non- 1 invasively collected samples 2

J. Wall, Sayan Mukherjee, N. Snyder‐Mackler, 2015 .

Regression and Classification with Regularization

T. Poggio, Sayan Mukherjee, R. Rifkin, 2003 .

The Fidelity of Local Ordinal Encoding

Javid Sadr, Pawan Sinha, Sayan Mukherjee, 2001, NIPS.

Catalyst-Free One-Pot Three-Component Synthesis of 4-Hydroxy-3-pyrazolylcoumarins in Ethanol at Room Temperature: Enolisable Aroylhydrazones as Efficient Ambident Nucleophile

Sayan Mukherjee, A. Pramanik, 2020 .

Novel Distal eQTL Analysis Demonstrates Effect of Population Genetic Architecture on Detecting and Interpreting Associations

Terrence S. Furey, Sayan Mukherjee, T. Furey, 2014, Genetics.

Melanoma Therapeutic Strategies that Select against Resistance by Exploiting MYC-Driven Evolutionary Convergence.

Jason W. Locasale, Sayan Mukherjee, Lorin Crawford, 2017, Cell reports.

Melanoma Therapeutic St rategies that Select against Resistance by Exploiting MYC-Driven Evolutionary Convergence Graphical

Katherine R. Singleton, Sayan Mukherjee, K. Flaherty, 2017 .

Naught all zeros in sequence count data are the same

Sayan Mukherjee, Kimberly Roche, Justin D. Silverman, 2018, bioRxiv.

A Statistical Pipeline for Identifying Physical Features that Differentiate Classes of 3D Shapes

Tingran Gao, Sayan Mukherjee, Lorin Crawford, 2019, bioRxiv.

Retraction for Garman et al., A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunities

J. Nevins, Sayan Mukherjee, G. Ginsburg, 2011, Proceedings of the National Academy of Sciences.

A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunities

Elena Edelman, Jochen Gaedcke, Anil Potti, 2008, Proceedings of the National Academy of Sciences.

Genetics of gene expression responses to temperature stress in a sea urchin gene network

Sayan Mukherjee, G. Wray, D. Garfield, 2012, Molecular ecology.

Distinct and overlapping sarcoma subtypes initiated from muscle stem and progenitor cells.

Brian D. Bennett, Jeffrey K. Mito, Sayan Mukherjee, 2013, Cell reports.

GSAASeqSP: A Toolset for Gene Set Association Analysis of RNA-Seq Data

Terrence S. Furey, Sayan Mukherjee, Qing Xiong, 2014, Scientific Reports.

Discovering genetic variants in Crohn's disease by exploring genomic regions enriched of weak association signals.

Sayan Mukherjee, A. Latiano, O. Palmieri, 2011, Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver.

Statistical Considerations in the Design and Analysis of Longitudinal Microbiome Studies

Eran Halperin, Liat Shenhav, Sayan Mukherjee, 2018, bioRxiv.

Gene Selection via a Spectral Approach

S. Mukherjee, L. Wolf, A. Shashua, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Statistical Methods in Social Science Research

Sayan Mukherjee, B. Sinha, A. Chattopadhyay, 2018 .

Genetic Effects on Mating Success and Partner Choice in a Social Mammal

Sayan Mukherjee, J. Altmann, S. Alberts, 2012, The American Naturalist.

A New Fully Automated Approach for Aligning and Comparing Shapes

Ingrid Daubechies, Sayan Mukherjee, Chris Glynn, 2015, Anatomical record.

Detecting Epistasis in Genome-wide Association Studies with the Marginal EPIstasis Test

Xiang Zhou, Sayan Mukherjee, Lorin Crawford, 2016 .

XXVIth Annual Meeting of the European Chemoreception Research Organization, ECRO 2016

Volkan, Sayan Mukherjee, Catherine Hueston, 2017, Chemical Senses.

Stochastic dynamics of Michaelis–Menten kinetics based tumor-immune interactions

Parthasakha Das, Pritha Das, Sayan Mukherjee, 2020 .

Unifying mutualism diversity for interpretation and prediction

Sayan Mukherjee, L. You, Charlotte T. Lee, 2018, bioRxiv.

Salivary gland involvement in granulomatosis with polyangiitis: Case report and review of literature

Sayan Mukherjee, U. Dhakad, Kunal Chandwar, 2023, Indian Journal of Rheumatology.

RELOCATING ‘ FAUST ‘ : A COMPARATIVE READING OF SELECTED EUROPEAN TEXTS ON THE LEGEND

Sayan Mukherjee, 2018 .

PLAGIARISM AND ITS REPERCUSSIONS: A PRIMER ON RESPONSIBLE SCIENTIFIC WRITING

Sayan Mukherjee, P. Mehta, 2022, Central Asian Journal of Medical Hypotheses and Ethics.

Gene expression changes and molecular pathways mediating activity-dependent plasticity in visual cortex

Gabriel Kreiman, Hongbo Yu, Sayan Mukherjee, 2006, Nature Neuroscience.

An Integrated Approach to the Prediction of Chemotherapeutic Response in Patients with Breast Cancer

Anil Potti, Sayan Mukherjee, Joseph R. Nevins, 2008, PloS one.

Development and assessment of fully automated and globally transitive geometric morphometric methods, with application to a biological comparative dataset with high interspecific variation

Sayan Mukherjee, Doug M. Boyer, Tingran Gao, 2016, bioRxiv.

Citizen Science as a New Tool in Dog Cognition Research

Josep Call, Sayan Mukherjee, Ádám Miklósi, 2015, PloS one.

Impact of anxiety and depression on progression to glaucoma among glaucoma suspects

Sayan Mukherjee, F. Medeiros, T. Somers, 2020, British Journal of Ophthalmology.

The Use of Unlabeled Data in Predictive Modeling

Mike West, Feng Liang, Sayan Mukherjee, 2007, 0710.4618.

Differential expression analysis for RNAseq using Poisson mixed models

S. Mukherjee, Sayan Mukherjee, Xiaoping Zhou, 2016, bioRxiv.

Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits

S. Mukherjee, Sayan Mukherjee, Xiaoping Zhou, 2017, bioRxiv.

Characterizing the developmental pathways TTF-1, NKX2–8, and PAX9 in lung cancer

H. Dressman, J. Nevins, Sayan Mukherjee, 2009, Proceedings of the National Academy of Sciences.

Phylogenetic factorization of compositional data September 8 , 2016

Sayan Mukherjee, N. Fierer, D. Bennett, 2016 .

Towards a Method for Calculating Detectability Score for Supply Chain Risks : A Fuzzy TOPSIS and Fuzzy AHP approach

Sayan Mukherjee, 2015 .

Arterial blood gas as a prognostic indicator in patients with sepsis

Sayan Mukherjee, S. Bhattacharya, P. Ghosh, 2020, Indian journal of medical microbiology.

XAI for Communication Networks

Sayan Mukherjee, J. Rupe, J. Zhu, 2022, 2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).

Computational molecular docking assessment of hormone receptor adjuvant drugs: Breast cancer as an example.

Sayan Mukherjee, Durjoy Majumder, Sayan Mukherjee, 2009, Pathophysiology : the official journal of the International Society for Pathophysiology.

Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets.

T. Furey, Sayan Mukherjee, E. Hauser, 2011, Genome research.

Large Deviation Asymptotics and Bayesian Posterior Consistency on Stochastic Processes and Dynamical Systems

Sayan Mukherjee, Langxuan Su, 2021, 2106.06894.

Efficacy and Toxicity Assessment of Different Antibody Based Antiangiogenic Drugs by Computational Docking Method

Moumita Ghosh, Sayan Mukherjee, Durjoy Majumder, 2016, Adv. Bioinformatics.

Minimum $\Phi$-distance estimators for finite mixing measures

X. Nguyen, Sayan Mukherjee, Yun-Chun Wei, 2023, 2304.10052.

Multistability and chaos in a noise-induced blood flow

Sayan Mukherjee, Shaobo He, Hayder Natiq, 2021, The European Physical Journal Special Topics.

“Persistence of Horror”: An Overview of Texts on Post apocalyptic World Order

Sayan Mukherjee, 2022, New Literaria.

Likelihood ratio statistics for gene set enrichment in Alzheimer's disease pathways

Sayan Mukherjee, A. Badea, A. Mandan, 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.

TDMOS-an ultra-low on-resistance power transistor

Len-Yuan Tsou, Sayan Mukherjee, M. Simpson, 1988 .

Have the COVID-19 pandemic and lockdown affected children’s mental health in the long term? A repeated cross-sectional study

Sayan Mukherjee, Ayush Chordia, Manas Pustake, 2022, BMJ Open.

A unifying framework for interpreting and predicting mutualistic systems

Sayan Mukherjee, L. You, Charlotte T. Lee, 2019, Nature Communications.

Organic–Inorganic Hybrid Nanocomposites for Nanotheranostics: Special Focus on Preventing Emerging Variants of SARS-COV-2

Sayan Mukherjee, S. Dhara, Souvik Manna, 2023, Biomedical materials & devices.

Capacitive Memory Window With Non-Destructive Read in Ferroelectric Capacitors

Sayan Mukherjee, S. Clima, V. Afanas’ev, 2023, IEEE Electron Device Letters.

HOMINID: a framework for identifying associations between host genetic variation and microbiome composition

Dan Knights, Sayan Mukherjee, Ran Blekhman, 2016, bioRxiv.

Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

Sayan Mukherjee, J. Silverman, R. J. Bloom, 2018, Microbiome.

Communication scheme using a hyperchaotic semiconductor laser model: Chaos shift key revisited

Santo Banerjee, Sayan Mukherjee, Sanjay Kumar Palit, 2017 .

Acceptance of Location-Based Advertising by Young Consumers: A Stimulus-Organism-Response (S-O-R) Model Perspective

Ranjan B. Kini, T. M. Rofin, Sayan Mukherjee, 2023, Inf. Syst. Manag..

Optimization of MAE for Carica papaya phytochemicals, and its in silico, in vitro, and ex vivo evaluation: For functional food and drug applications

Sayan Mukherjee, M. K. Maiti, M. Banerjee, 2023, Food Bioscience.

Alzheimer's Disease Protein Relevance Analysis Using Human and Mouse Model Proteomics Data.

Sayan Mukherjee, C. Colton, W. Gottschalk, 2023, Frontiers in systems biology.

AI Memo AIM-2003-019 Permutation Tests for Classication

Polina Golland, Sayan Mukherjee, D. Panchenko, 2003 .

Dynamical Complexity and Multistability in a Novel Lunar Wake Plasma System

Santo Banerjee, Asit Saha, Sayan Mukherjee, 2020, Complex..

Optimization of microwave-assisted extraction (MAE) of key phenolic compounds from pigeon pea (Cajanus cajan L.), their characterization, and measurement of their anti-diabetic and cytotoxic potential

Sayan Mukherjee, M. K. Maiti, M. Banerjee, 2023, Journal of Food Measurement and Characterization.

Probing for suitable climatology to estimate the predictability of monsoon onset over Kerala (MOK), India

Sayan Mukherjee, S. Chaudhuri, J. Pal, 2017, Theoretical and Applied Climatology.

Global Optimality of Elman-type RNN in the Mean-Field Regime

Sayan Mukherjee, A. Agazzi, Jian-Xiong Lu, 2023, ICML.

Axial and Radial Compression Behavior of Composite Rocket Launcher Developed by Robotized Filament Winding: Simulation and Experimental Validation

Sayan Mukherjee, B. Behera, Michal Petrů, 2021, Polymers.

Optic nerve sheath diameter measurements using ultrasonography to diagnose raised intracranial pressure in preeclampsia: an observational study

Sayan Mukherjee, J. Biswas, N. Khatun, 2023, Journal of the Turkish German Gynecological Association.

Why Neural Networks Work

Bernardo A. Huberman, Sayan Mukherjee, 2022, arXiv.org.

Bi-Objective Lexicographic Optimization in Markov Decision Processes with Related Objectives

Sayan Mukherjee, D. Chakraborty, A. Majumdar, 2023, arXiv.org.

Indian traditional diet may prevent COVID-19-related mortality: A narrative review

Sayan Mukherjee, S. Sarkar, N. Chatterjee, 2023, Asian Journal of Internal Medicine.

A unifying framework for interpreting and predicting mutualistic systems

Sayan Mukherjee, Lingchong You, Feilun Wu, 2019, Nature Communications.

Correction: A Predictive Framework for Integrating Disparate Genomic Data Types Using Sample-Specific Gene Set Enrichment Analysis and Multi-Task Learning

Brian D. Bennett, T. Furey, Sayan Mukherjee, 2013, PLoS ONE.

Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks

Sayan Mukherjee, Michele Caprio, 2022, IEEE Access.

Fast algorithms for handling diagonal constraints in timed automata

Paul Gastin, Sayan Mukherjee, B. Srivathsan, 2019, CAV.

Reachability in timed automata with diagonal constraints pdf

Paul Gastin, Sayan Mukherjee, B. Srivathsan, 2018, CONCUR.

An integrated approach to the prediction of chemotherapeutic response in patients with breast cancer.

H. Dressman, J. Olson, J. Nevins, 2008, PLoS ONE.

Evolution of DNA Methylation in Papio Baboons

Sayan Mukherjee, C. Jolly, Tauras P. Vilgalys, 2019 .

Expected return time to the initial state for biochemical systems with linear cyclic chains: unidirectional and bidirectional reactions

R. K. De, Sayan Mukherjee, D. Ghosh, 2018, Sādhanā.

GIBBS POSTERIOR CONVERGENCE AND THE THERMODYNAMIC FORMALISM By

A. Nobel, K. Mcgoff, Sayan Mukherjee, 2021 .

Scalable Algorithms for Learning High-Dimensional Linear Mixed Models pdf

Sayan Mukherjee, Xiang Zhou, Zilong Tan, 2018, UAI.

Bayesian Approximate Kernel Regression With Variable Selection

Sayan Mukherjee, Xiaoping Zhou, Lorin Crawford, 2015, Journal of the American Statistical Association.

Core and region-enriched networks of behaviorally regulated genes and the singing genome

Andreas R. Pfenning, Manolis Kellis, Sayan Mukherjee, 2014, Science.

Iodine functionalized 2,5-dimethoxy-2,5-dihydrofuran (DHFI) crosslinked whey protein-derived carbon nanodots (WCND) for antibacterial application

Sayan Mukherjee, Bodhisatwa Das, Santanu Dhara, 2023, Colloids and Surfaces B: Biointerfaces.

STABILITY RESULTS IN LEARNING THEORY

T. Poggio, Sayan Mukherjee, A. Rakhlin, 2005 .

Statistical Learning: Stability is Sufficient for Generalization and Necessary and Sufficient for Consistency of Empirical Risk Minimization

T. Poggio, P. Niyogi, Sayan Mukherjee, 2002 .

Cyclin-dependent kinases are regulators and effectors of oscillations driven by a transcription factor network.

Michael B. Mayhew, David A. Orlando, Sayan Mukherjee, 2012, Molecular cell.

Estimating variable structure and dependence in multitask learning via gradients

Sayan Mukherjee, J. Guinney, Qiang Wu, 2022 .

The accuracy of absolute differential abundance analysis from 1 relative count data

S. Mukherjee, Sayan Mukherjee, Kimberly E. Roche, 2022 .

From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

J. Mesirov, E. Lander, T. Golub, 2005 .

Generalized Bayes approach to inverse problems with model misspecification

Sayan Mukherjee, W. Aquino, You-Hyun Baek, 2022, Inverse problems.

Complexity and synchronization in stochastic chaotic systems

Thai Son Dang, Sayan Mukherjee, Sanjay Kumar Palit, 2016 .

Genetics of gene expression responses to temperature stress in a sea urchin gene network

Sayan Mukherjee, G. Wray, D. Garfield, 2012, Molecular ecology.

Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression

Sayan Mukherjee, S. Berchuck, You-Hyun Baek, 2023, NeurIPS.

Supplementary Material for “A Statistical Pipeline for Identifying Physical Features that Diﬀerentiate Classes of 3D Shapes”

Sayan Mukherjee, Lorin Crawford, D. Boyer, 2020 .