Ranadip Pal

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 26

Top Topics

Feature Selection

Conformal Prediction

Top Venues

Publications

Daniel Nolte, Souparno Ghosh, Ranadip Pal
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests. CoRR (2024)
Ruibo Zhang, Souparno Ghosh, Ranadip Pal
Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations. Briefings Bioinform. 23 (3) (2022)
Omid Bazgir, Souparno Ghosh, Ranadip Pal
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. Bioinform. 37 (Supplement) (2021)
Omid Bazgir, Souparno Ghosh, Ranadip Pal
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. CoRR (2020)
Omid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba, Raziur Rahman, Souparno Ghosh, Ranadip Pal
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks. CoRR (2019)
Raziur Rahman, Saugato Rahman Dhruba, Kevin Matlock, Carlos De Niz, Souparno Ghosh, Ranadip Pal
Evaluating the consistency of large-scale pharmacogenomic studies. Briefings Bioinform. 20 (5) (2019)
Kevin Matlock, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features. Bioinform. 35 (17) (2019)
Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal
Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. (12) (2019)
Saugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Recursive model for dose-time responses in pharmacological studies. BMC Bioinform. (12) (2019)
Joshua Mayer, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Sequential feature selection and inference using multi-variate random forests. Bioinform. 34 (8) (2018)
Bijoy K. Ghosh, Aniruddha Datta, Ranadip Pal
Deep Sequencing Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Raziur Rahman, Chamila Perera, Souparno Ghosh, Ranadip Pal
Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases. EMBC (2018)
Kevin Matlock, Saugato Rahman Dhruba, Moazzam Nazir, Ranadip Pal
An investigation of proteomic data for application in precision medicine. BHI (2018)
Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal
Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. (3) (2018)
Aminur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, Ranadip Pal
Recursive Model for Dose-time Responses in Pharmacological Studies. BCB (2018)
Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. EMBC (2018)
Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Investigation of model stacking for drug sensitivity prediction. BMC Bioinform. (3) (2018)
Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
Application of transfer learning for cancer drug sensitivity prediction. BMC Bioinform. (17) (2018)
Raziur Rahman, John Otridge, Ranadip Pal
IntegratedMRF: random forest-based framework for integrating prediction from different data types. Bioinform. 33 (9) (2017)
Kevin Matlock, Noah Berlow, Charles Keller, Ranadip Pal
Combination therapy design for maximizing sensitivity and minimizing toxicity. BMC Bioinform. 18 (S-4) (2017)
Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal
Investigation of Model Stacking for Drug Sensitivity Prediction. BCB (2017)
Raziur Rahman, Ranadip Pal
Analyzing drug sensitivity prediction based on dose response curve characteristics. BHI (2016)
Kevin Matlock, Noah Berlow, Charles Keller, Ranadip Pal
Combination therapy design for maximizing sensitivity and minimizing toxicity. BCB (2016)
Hua Xie, Ranadip Pal, Sunanda Mitra
A descriptive model of resting-state networks using Markov chains. EMBC (2016)
Carlos De Niz, Raziur Rahman, Xiangyuan Zhao, Ranadip Pal
Algorithms for Drug Sensitivity Prediction. Algorithms 9 (4) (2016)
Jason E. Hill, Kevin Matlock, Ranadip Pal, Brian Nutter, Sunanda Mitra
Automated segmentation of MS lesions in FLAIR, DIR and T2-w MR images via an information theoretic approach. Medical Imaging: Image Processing (2016)
Noah Berlow, Saad Haider, Qian Wan, Mathew Geltzeiler, Lara E. Davis, Charles Keller, Ranadip Pal
An Integrated Approach to Anti-Cancer Drug Sensitivity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (6) (2014)
Qian Wan, Ranadip Pal
Multi-objective optimization of ensemble of regression trees using genetic algorithms. GlobalSIP (2014)
Yiran Li, Ranadip Pal, Changzhi Li
Non-contact multi-radar smart probing of body orientation based on micro-Doppler signatures. EMBC (2014)
Noah Berlow, Lara E. Davis, Charles Keller, Ranadip Pal
Inference of dynamic biological networks based on responses to drug perturbations. EURASIP J. Bioinform. Syst. Biol. 2014 (2014)
Qian Wan, Yiran Li, Changzhi Li, Ranadip Pal
Gesture recognition for smart home applications using portable radar sensors. EMBC (2014)
Saad Haider, Ranadip Pal
Analysis of multivariate drug sensitivity dependence structure using copulas. GlobalSIP (2014)
Saad Haider, Ranadip Pal
Inference of tumor inhibition pathways from drug perturbation data. GlobalSIP (2013)
Noah Berlow, Saad Haider, Ranadip Pal, Charles Keller
Quantifying the inference power of a drug screen for predictive analysis. GENSiPS (2013)
Qian Wan, Ranadip Pal
A multivariate random forest based framework for drug sensitivity prediction. GENSiPS (2013)
Noah Berlow, Lara E. Davis, Emma L. Cantor, Bernard Séguin, Charles Keller, Ranadip Pal
A new approach for prediction of tumor sensitivity to targeted drugs based on functional data. BMC Bioinform. 14 (2013)
Ranadip Pal
Modeling and inference of genetic interactions. WIREs Data Mining Knowl. Discov. 3 (6) (2013)
Mehmet Umut Caglar, Ranadip Pal
Stochastic Model Simulation Using Kronecker Product Analysis and Zassenhaus Formula Approximation. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (5) (2013)
Ranadip Pal, Sonal Bhattacharya
Transient Dynamics of Reduced-Order Models of Genetic Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (4) (2012)
Saad Haider, Noah Berlow, Ranadip Pal, Lara E. Davis, Charles Keller
Combination therapy design for targeted therapeutics from a drug-protein interaction perspective. GENSiPS (2012)
Noah Berlow, Ranadip Pal, Lara E. Davis, Charles Keller
Analyzing pathway design from drug perturbation experiments. SSP (2012)
Ranadip Pal, Noah Berlow
A Kinase Inhibition Map Approach for Tumor Sensitivity Prediction and Combination Therapy Design for Targeted Drugs. Pacific Symposium on Biocomputing (2012)
Ranadip Pal, Sonal Bhattacharya, Mehmet Umut Caglar
Robust Approaches for Genetic Regulatory Network Modeling and Intervention: A review of recent advances. IEEE Signal Process. Mag. 29 (1) (2012)
Ranadip Pal, Noah Berlow, Saad Haider
Anticancer drug sensitivity analysis: An integrated approach applied to Erlotinib sensitivity prediction in the CCLE database. GENSiPS (2012)
Mehmet Umut Caglar, Ranadip Pal
Complexity reduction of stochastic master equation simulation based on Kronecker product analysis. BCB (2012)
Noah Berlow, Ranadip Pal
A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs. GENSiPS (2011)
Saad Haider, Ranadip Pal
Inference of a genetic regulatory network model from limited time series data. GENSiPS (2011)
Sonal Bhattacharya, Ranadip Pal
A novel critical time analysis approach for genetic regulatory networks. GENSiPS (2011)
Noah Berlow, Ranadip Pal
Generation of intervention strategy for a Genetic Regulatory Network represented by a family of Markov Chains. EMBC (2011)
Edward R. Dougherty, Ranadip Pal, Xiaoning Qian, Michael L. Bittner, Aniruddha Datta
Stationary and structural control in gene regulatory networks: basic concepts. Int. J. Syst. Sci. 41 (1) (2010)
Kwaku Akrofi, Ranadip Pal, Mary C. Baker, Brian Nutter, Randolph W. Schiffer
Classification of Alzheimer's disease and mild cognitive impairment by pattern recognition of EEG power and coherence. ICASSP (2010)
Ranadip Pal, Mehmet Umut Caglar
Control of stochastic master equation models of genetic regulatory networks by approximating their average behavior. GENSiPS (2010)
Ranadip Pal
Context-sensitive probabilistic Boolean networks: steady-state properties, reduction, and steady-state approximation. IEEE Trans. Signal Process. 58 (2) (2010)
Ranadip Pal, Sonal Bhattacharya
Effect of coarse-scale modeling on control outcome of genetic regulatory networks. ACC (2010)
Ranadip Pal, Sonal Bhattacharya
Characterizing the effect of coarse-scale PBN modeling on dynamics and intervention performance of genetic regulatory networks represented by stochastic master equation models. IEEE Trans. Signal Process. 58 (6) (2010)
Ye Yang, Ranadip Pal, Michael O'Boyle
Classification of cognitive states using functional MRI data. Medical Imaging: Image Processing (2010)
Ritwik Layek, Aniruddha Datta, Ranadip Pal, Edward R. Dougherty
Adaptive intervention in Probabilistic Boolean Networks. ACC (2009)
Ranadip Pal, Sonal Bhattacharya
Steady-state preserving reduction for genetic regulatory network models. CBMS (2009)
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
Quantification of data extraction noise in probabilistic Boolean Network modeling. GENSiPS (2009)
Ranadip Pal
Analyzing steady state probability distributions of Context-sensitive Probabilistic Boolean Networks. GENSiPS (2009)
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
Bayesian robustness in the control of gene regulatory networks. IEEE Trans. Signal Process. 57 (9) (2009)
Ritwik Layek, Aniruddha Datta, Ranadip Pal, Edward R. Dougherty
Adaptive intervention in probabilistic boolean networks. Bioinform. 25 (16) (2009)
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
Robust Intervention in Probabilistic Boolean Networks. IEEE Trans. Signal Process. 56 (3) (2008)
Sunanda Mitra, M. O'Boyle, Enrique Corona, Bian Li, F. Afrin, Brian Nutter, M. Baker, Ranadip Pal, Bijoy K. Ghosh, Tanja Karp
Generating structure-function correlations by ICA- based mapping of activation patterns on co-registered fMRI and FA-DTI data. ACSCC (2008)
Anirulddlha Datta, Ranadip Pal, Ashish Choudhary, Edward R. Dougherty
Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention? IEEE Signal Process. Mag. 24 (1) (2007)
Ivan Ivanov, Ranadip Pal, Edward R. Dougherty
Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks. IEEE Trans. Signal Process. 55 (5-2) (2007)
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
Robust Intervention in Probabilistic Boolean Networks. ACC (2007)
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
Optimal infinite-horizon control for probabilistic Boolean networks. IEEE Trans. Signal Process. 54 (6-2) (2006)
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
Optimal infinite horizon control for probabilistic Boolean networks. ACC (2006)
Ranadip Pal, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
Intervention in context-sensitive probabilistic Boolean networks. Bioinform. 21 (7) (2005)
Ranadip Pal, Aniruddha Datta, Albert J. Fornace Jr., Michael L. Bittner, Edward R. Dougherty
Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS. Bioinform. 21 (8) (2005)
Ranadip Pal, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
External control in a special class of probabilistic Boolean networks. ACC (2005)
Ranadip Pal, Ivan Ivanov, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
Generating Boolean networks with a prescribed attractor structure. Bioinform. 21 (21) (2005)
Xiaobo Zhou, Xiaodong Wang, Ranadip Pal, Ivan Ivanov, Michael L. Bittner, Edward R. Dougherty
A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks. Bioinform. 20 (17) (2004)