Ranadip Pal

发表

A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks

Xiaobo Zhou, Xiaodong Wang, Michael L. Bittner, 2004, Bioinform..

Combination therapy design for maximizing sensitivity and minimizing toxicity

Ranadip Pal, Kevin Matlock, Noah Berlow, 2016, BMC Bioinformatics.

Multi-objective optimization of ensemble of regression trees using genetic algorithms

Qian Wan, Ranadip Pal, R. Pal, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Control of stochastic master equation models of genetic regulatory networks by approximating their average behavior

Ranadip Pal, Mehmet Umut Caglar, R. Pal, 2010, 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Robust Intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007, ACC.

Chapter 11 – Combination therapeutics

Ranadip Pal, R. Pal, 2017 .

Robust Approaches for Genetic Regulatory Network Modeling and Intervention: A review of recent advances

Ranadip Pal, Mehmet Umut Caglar, Sonal Bhattacharya, 2012, IEEE Signal Processing Magazine.

Quantifying the inference power of a drug screen for predictive analysis

Ranadip Pal, Noah Berlow, Charles Keller, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Recursive model for dose-time responses in pharmacological studies

Ranadip Pal, Souparno Ghosh, Saugato Rahman Dhruba, 2019, BMC Bioinformatics.

WITHDRAWN: Corrigendum to “On the fast convergence modeling and accurate calculation of PV output energy for operation and planning studies” [Energy Convers. Manage. 89 (2015) 497–506]

Seyed Hossein Hosseinian, Sajjad Abedi, Ranadip Pal, 2018 .

Classification of Alzheimer's disease and mild cognitive impairment by pattern recognition of EEG power and coherence

Mary C. Baker, Kwaku Akrofi, Brian Nutter, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Complexity reduction of stochastic master equation simulation based on Kronecker product analysis

Ranadip Pal, Mehmet Umut Caglar, R. Pal, 2012, BCB.

Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks

Ranadip Pal, Souparno Ghosh, Omid Bazgir, 2020, Nature communications.

Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Emerging Research in the Analysis and Modeling of Gene Regulatory Networks

Xiaoning Qian, Ranadip Pal, Ivan Ivanov, 2016 .

Structural Intervention and External Control for Markovian Regulatory Network Models

Xiaoning Qian, Ranadip Pal, R. Pal, 2019, Biotechnology.

Sequential feature selection and inference using multi‐variate random forests

Ranadip Pal, Souparno Ghosh, Raziur Rahman, 2018, Bioinform..

Selected articles from the IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'2011)

Yufei Huang, Ranadip Pal, Yidong Chen, 2012, BMC Genomics.

Combination therapy design for maximizing sensitivity and minimizing toxicity

Ranadip Pal, Kevin Matlock, Noah Berlow, 2016, BCB.

Classification of cognitive states using functional MRI data

Ranadip Pal, Michael O'Boyle, Ye Yang, 2010, Medical Imaging.

A new approach for prediction of tumor sensitivity to targeted drugs based on functional data

Ranadip Pal, Noah Berlow, Charles Keller, 2013, BMC Bioinformatics.

Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases

Ranadip Pal, Souparno Ghosh, Raziur Rahman, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Modeling and inference of genetic interactions

Ranadip Pal, R. Pal, 2013, WIREs Data Mining Knowl. Discov..

Investigation of model stacking for drug sensitivity prediction

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2017, BMC Bioinformatics.

Functional random forest with applications in dose-response predictions

Ranadip Pal, Souparno Ghosh, Saugato Rahman Dhruba, 2019, Scientific Reports.

Potential Active Shooter Detection Based on Radar Micro-Doppler and Range-Doppler Analysis Using Artificial Neural Network

Yiran Li, Changzhi Li, Zhengyu Peng, 2019, IEEE Sensors Journal.

Optimal infinite horizon control for probabilistic Boolean networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2006, 2006 American Control Conference.

A descriptive model of resting-state networks using Markov chains

Sunanda Mitra, Ranadip Pal, Hua Xie, 2016, EMBC.

Characterizing the Effect of Coarse-Scale PBN Modeling on Dynamics and Intervention Performance of Genetic Regulatory Networks Represented by Stochastic Master Equation Models

Ranadip Pal, Sonal Bhattacharya, R. Pal, 2010, IEEE Transactions on Signal Processing.

Quantification of data extraction noise in probabilistic Boolean Network modeling

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

GENERATION OF STATIONARY CONTROL POLICIES WITH BEST EXPECTED PERFORMANCE FOR A FAMILY OF MARKOV CHAINS

Ranadip Pal, Noah Berlow, Noah E. Berlow, 2012 .

Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma

Ranadip Pal, Carol J. Bult, Charles Keller, 2018, BMC Cancer.

Evaluating the consistency of large-scale pharmacogenomic studies

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2019, Briefings Bioinform..

Generation of intervention strategy for a Genetic Regulatory Network represented by a family of Markov Chains

Ranadip Pal, Noah Berlow, Noah E. Berlow, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Gesture recognition for smart home applications using portable radar sensors

Yiran Li, Changzhi Li, Qian Wan, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Intervention in Probabilistic Gene Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2006 .

Context-Sensitive Probabilistic Boolean Networks: Steady-State Properties, Reduction, and Steady-State Approximation

Ranadip Pal, R. Pal, 2010, IEEE Transactions on Signal Processing.

Algorithms for Drug Sensitivity Prediction

Ranadip Pal, Raziur Rahman, Carlos De Niz, 2016, Algorithms.

Chapter 4 – Validation methodologies

Ranadip Pal, R. Pal, 2017 .

A Kinase Inhibition Map Approach for Tumor Sensitivity Prediction and Combination Therapy Design for Targeted Drugs

Ranadip Pal, Noah Berlow, Noah E. Berlow, 2011, Pacific Symposium on Biocomputing.

Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations.

Ranadip Pal, Raziur Rahman, R. Pal, 2018, Methods in molecular biology.

Steady-state preserving reduction for genetic regulatory network models

Ranadip Pal, Sonal Bhattacharya, R. Pal, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Transient Dynamics of Reduced-Order Models of Genetic Regulatory Networks

Ranadip Pal, Sonal Bhattacharya, R. Pal, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Chapter 13 – Challenges

Ranadip Pal, R. Pal, 2017 .

Active Shooter Detection in Multiple-Person Scenario Using RF-Based Machine Vision

Yiran Li, Changzhi Li, Ranadip Pal, 2021, IEEE Sensors Journal.

Comparison of Control Approaches in Genetic Regulatory Networks by Using Stochastic Master Equation Models, Probabilistic Boolean Network Models and Differential Equation Models and Estimated Error Analyzes

Ranadip Pal, Mehmet Umut Caglar, 2011 .

On the fast convergence modeling and accurate calculation of PV output energy for operation and planning studies

Seyed Hossein Hosseinian, Sajjad Abedi, Ranadip Pal, 2015 .

Deep Sequencing Data Analysis

Bijoy K. Ghosh, Aniruddha Datta, Ranadip Pal, 2018, IEEE ACM Trans. Comput. Biol. Bioinform..

Investigation of model stacking for drug sensitivity prediction

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2018, BMC Bioinformatics.

A novel critical time analysis approach for genetic regulatory networks

Ranadip Pal, Sonal Bhattacharya, R. Pal, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Robust Intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007, 2007 American Control Conference.

An Integrated Approach to Anti-Cancer Drug Sensitivity Prediction

Qian Wan, Ranadip Pal, Noah Berlow, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Stationary and structural control in gene regulatory networks: basic concepts

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2010, Int. J. Syst. Sci..

Predictive modeling based on random forests

Ranadip Pal, R. Pal, 2017 .

Gene expression Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2005 .

Robust Intervention in Probabilistic

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2008 .

Combination therapy design for targeted therapeutics from a drug-protein interaction perspective

Ranadip Pal, Noah Berlow, Charles Keller, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

A Diverse Stochastic Search Algorithm for Combination Therapeutics

Ranadip Pal, Mehmet Umut Caglar, R. Pal, 2014, BioMed research international.

Application of transfer learning for cancer drug sensitivity prediction

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2018, BMC Bioinformatics.

Anticancer drug sensitivity analysis: An integrated approach applied to Erlotinib sensitivity prediction in the CCLE database

Ranadip Pal, Noah Berlow, Saad Haider, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Modeling and control of genetic regulatory networks

Ranadip Pal, R. Pal, 2009 .

Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction pdf

Ranadip Pal, Souparno Ghosh, Omid Bazgir, 2020, ArXiv.

Analysis of multivariate drug sensitivity dependence structure using copulas

Ranadip Pal, Saad Haider, R. Pal, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2019, Bioinform..

Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2019, BMC Bioinformatics.

2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSiPS 2009, Minneapolis, MN, USA, May 17-21, 2009

Ganapati Panda, Aniruddha Datta, Edward R. Dougherty, 2009, GENSiPS.

S1: Supplementary Information for Article: A copula based S1: Supplementary Information for Article: A copula based approach for design of multivariate random forests for drug approach for design of multivariate random forests for drug sensitivity prediction sensitivity prediction

Ranadip Pal, Souparno Ghosh, Saad Haider, 2015 .

Adaptive intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2009, 2009 American Control Conference.

Heterogeneity Aware Random Forest for Drug Sensitivity Prediction

Ranadip Pal, Kevin Matlock, Souparno Ghosh, 2017, Scientific Reports.

Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction

Ranadip Pal, Souparno Ghosh, Saad Haider, 2015, Cancer informatics.

Recursive Model for Dose-time Responses in Pharmacological Studies

Ranadip Pal, Souparno Ghosh, Saugato Rahman Dhruba, 2018, BCB.

Inference of dynamic biological networks based on responses to drug perturbations

Ranadip Pal, Noah Berlow, Charles Keller, 2014, EURASIP J. Bioinform. Syst. Biol..

Analyzing drug sensitivity prediction based on dose response curve characteristics

Ranadip Pal, Raziur Rahman, R. Pal, 2016, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs

Ranadip Pal, Noah Berlow, Noah E. Berlow, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Adaptive intervention in Probabilistic Boolean Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2009, ACC.

Analyzing steady state probability distributions of Context-sensitive Probabilistic Boolean Networks

Ranadip Pal, 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics.

Stochastic Model Simulation Using Kronecker Product Analysis and Zassenhaus Formula Approximation

Ranadip Pal, Mehmet Umut Caglar, R. Pal, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Non-contact multi-radar smart probing of body orientation based on micro-Doppler signatures

Yiran Li, Changzhi Li, Ranadip Pal, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)

Tamer Kahveci, Xiaoning Qian, Byung-Jun Yoon, 2018, BMC Bioinformatics.

Inference of a genetic regulatory network model from limited time series data

Ranadip Pal, Saad Haider, 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

An investigation of proteomic data for application in precision medicine

Ranadip Pal, Kevin Matlock, Saugato Rahman Dhruba, 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Additional file 1 of Recursive model for dose-time responses in pharmacological studies

Ranadip Pal, Souparno Ghosh, Saugato Rahman Dhruba, 2019 .

Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention?

Ashish Choudhury, Edward R. Dougherty, Ranadip Pal, 2007, IEEE Signal Processing Magazine.

Controlpproaches for Probabilistic Gene Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007 .

Inference of tumor inhibition pathways from drug perturbation data

Ranadip Pal, Saad Haider, R. Pal, 2013, 2013 IEEE Global Conference on Signal and Information Processing.

Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks

Edward R. Dougherty, Ivan Ivanov, Ranadip Pal, 2007, IEEE Transactions on Signal Processing.

A multivariate random forest based framework for drug sensitivity prediction

Qian Wan, Ranadip Pal, R. Pal, 2013, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

Generating Boolean networks with a prescribed attractor structure

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2005, Bioinform..

Bayesian Robustness in the Control of Gene Regulatory Networks

Aniruddha Datta, Edward R. Dougherty, Ranadip Pal, 2007, IEEE Transactions on Signal Processing.

Analyzing pathway design from drug perturbation experiments

Ranadip Pal, Noah Berlow, Charles Keller, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Intervention in context-sensitive probabilistic Boolean networks

Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty, 2005, Bioinform..

IntegratedMRF: random forest‐based framework for integrating prediction from different data types

Ranadip Pal, Raziur Rahman, John Otridge, 2017, Bioinform..

Chapter 12 – Online resources

Ranadip Pal, 2017 .

REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks pdf

Ranadip Pal, Souparno Ghosh, Omid Bazgir, 2019, ArXiv.

Automated segmentation of MS lesions in FLAIR, DIR and T2-w MR images via an information theoretic approach

Sunanda Mitra, Brian Nutter, Ranadip Pal, 2016, SPIE Medical Imaging.

Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction

Ranadip Pal, Souparno Ghosh, Omid Bazgir, 2020, Bioinform..

Boolean network inference from time series data incorporating prior biological knowledge

Ranadip Pal, Saad Haider, R. Pal, 2012, BMC Genomics.

Evidence for an unanticipated relationship between undifferentiated pleomorphic sarcoma and embryonal rhabdomyosarcoma.

Benjamin R Arenkiel, Ranadip Pal, Qing-Rong Chen, 2011, Cancer cell.

91 FADS AND FALLACIES IN THE NAME OF SMALL-SAMPLE MICROARRAY CLASSIFICATION

Rabab K. Ward, Petar M. Djuric, Sergios Theodoridis, 2007 .

Erratum: Functionally defined therapeutic targets in diffuse intrinsic pontine glioma

Ranadip Pal, Charles Keller, Nathalene Truffaux, 2015, Nature Medicine.