Sach Mukherjee

发表

Next station in microarray data analysis: GEPAS

Joaquín Dopazo, Joaquín Tárraga, Javier Herrero, 2006, Nucleic Acids Res..

Model Averaging for Biological Networks with Prior Information

Terence P. Speed, Sach Mukherjee, Steven M. Hill, 2010 .

Causal Learning via Manifold Regularization

Sach Mukherjee, Chris. J. Oates, Steven M. Hill, 2016, J. Mach. Learn. Res..

A theoretical analysis of gene selection

Stephen J. Roberts, Sach Mukherjee, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

Gene ranking by bootstrapped P-values

Sarah J. Gurr, Sach Mukherjee, Peter Sykacek, 2003 .

A Theoretical Analysis of the Selection of Differentially Expressed Genes

Stephen J. Roberts, Sach Mukherjee, 2005, J. Bioinform. Comput. Biol..

Network inference using steady-state data and Goldbeter-Koshland kinetics

Chris J. Oates, Sach Mukherjee, Yiling Lu, 2012, Bioinform..

Temporal clustering by affinity propagation reveals transcriptional modules in Arabidopsis thaliana

Sach Mukherjee, Katherine J. Denby, Steven J. Kiddle, 2010, Bioinform..

The Future of Data Science

Sylvia Richardson, Sach Mukherjee, S. Richardson, 2020, 2.3.

Evaluation of Causal Structure Learning Algorithms via Risk Estimation

Sach Mukherjee, Marco F. Eigenmann, Marloes H. Maathuis, 2020, UAI.

Data-adaptive test statistics for microarray data

Stephen J. Roberts, Mark J. van der Laan, Sach Mukherjee, 2005, ECCB/JBI.

Probabilistic consistency analysis for gene selection

Stephen J. Roberts, Sach Mukherjee, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

Model-based clustering in very high dimensions via adaptive projections pdf

Sach Mukherjee, Bernd Taschler, Frank Dondelinger, 2019, ArXiv.

Joint estimation of multiple networks from time course data

Joe W. Gray, Chris J. Oates, Sach Mukherjee, 2013 .

Estimating Causal Structure Using Conditional DAG Models

Jim Q. Smith, Chris J. Oates, Sach Mukherjee, 2014, J. Mach. Learn. Res..

Causal network inference using biochemical kinetics

Joe W. Gray, Chris J. Oates, Sach Mukherjee, 2014, Bioinform..

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line

Terence P. Speed, Paul T. Spellman, Joe W. Gray, 2012, Bioinform..

Causal Learning via Manifold Regularization.

Duncan A. J. Blythe, Sach Mukherjee, Steven M. Hill, 2019 .

Ancestral causal learning in high dimensions with a human genome-wide application pdf

Sach Mukherjee, Bernd Taschler, Umberto Noè, 2019, ArXiv.

A Gibbs Sampler for Learning DAGs

Sach Mukherjee, Robert J. B. Goudie, S. Mukherjee, 2016, J. Mach. Learn. Res..

Statistical analysis of varieties of English

Joybrato Mukherjee, Sach Mukherjee, Marco Schilk, 2013 .

Network clustering: probing biological heterogeneity by sparse graphical models

Sach Mukherjee, Steven M. Hill, S. Hill, 2011, Bioinform..

High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking

Sylvia Richardson, Fan Wang, Sach Mukherjee, 2018, Statistics and Computing.

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology

Paul T. Spellman, Joe W. Gray, Wen-Lin Kuo, 2011, BMC Bioinformatics.

Sparse combinatorial inference with an application in cancer biology

Terence P. Speed, Paul T. Spellman, Joe W. Gray, 2009, Bioinform..

Multiple Hypothesis Testing for Data Mining

Sach Mukherjee, 2009, Encyclopedia of Data Warehousing and Mining.

Joint Structure Learning of Multiple Non-Exchangeable Networks

Chris J. Oates, Sach Mukherjee, S. Mukherjee, 2014, AISTATS.

Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation pdf

Sach Mukherjee, Steven M. Hill, S. Hill, 2013, ArXiv.

Exact estimation of multiple directed acyclic graphs

Jim Q. Smith, James Cussens, Chris J. Oates, 2014, Stat. Comput..

Multivariate gene-set testing based on graphical models.

Sach Mukherjee, Nicolas Städler, N. Städler, 2015, Biostatistics.

SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and Atrophy

Monique M. B. Breteler, Gerard Sanroma, Martin Reuter, 2018, MLMI@MICCAI.

Molecular heterogeneity at the network level: high-dimensional testing, clustering and a TCGA case study

Rehan Akbani, Sach Mukherjee, Frank Dondelinger, 2017, Bioinform..

MC4: A Tempering Algorithm for Large-Sample Network Inference

Sach Mukherjee, Steven M. Hill, Daniel James Barker, 2010, PRIB.

Network inference using informative priors

Sach Mukherjee, Terence P Speed, T. Speed, 2008, Proceedings of the National Academy of Sciences.

Markov chain Monte Carlo for Structural Inference with Prior Information

Terence P. Speed, Sach Mukherjee, T. Speed, 2007 .

Penalized estimation in high-dimensional hidden Markov models with state-specific graphical models

Sach Mukherjee, S. Mukherjee, Nicolas Stadler, 2012, 1208.4989.

Complementation of ditransitive verbs in South Asian Englishes: a multifactorial analysis

Joybrato Mukherjee, Sach Mukherjee, Marco Schilk, 2013 .

Structural inference using nonlinear dynamics

Sach Mukherjee, Chris Oates, S. Mukherjee, 2012 .

Two-Sample Testing in High-Dimensional Models

Sach Mukherjee, S. Mukherjee, Nicolas Stadler, 2012 .

Two-sample testing in high dimensions

Sach Mukherjee, Nicolas Städler, 2017 .

Scalable Bayesian Regression in High Dimensions With Multiple Data Sources

Sach Mukherjee, Konstantinos Perrakis, S. Mukherjee, 2017, Journal of Computational and Graphical Statistics.