Ranadip Pal
Orcid: 0000-0002-9311-5901
According to our database1,
Ranadip Pal
authored at least 69 papers
between 2004 and 2024.
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Bibliography
2024
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data.
CoRR, 2024
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests.
CoRR, 2024
2022
Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations.
Briefings Bioinform., 2022
2021
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction.
Bioinform., 2021
2019
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks.
CoRR, 2019
Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2019
BMC Bioinform., 2019
Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features.
Bioinform., 2019
Briefings Bioinform., 2019
2018
Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2018
BMC Bioinform., 2018
BMC Bioinform., 2018
Bioinform., 2018
Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
BMC Bioinform., 2017
IntegratedMRF: random forest-based framework for integrating prediction from different data types.
Bioinform., 2017
2016
Automated segmentation of MS lesions in FLAIR, DIR and T2-w MR images via an information theoretic approach.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
EURASIP J. Bioinform. Syst. Biol., 2014
Multi-objective optimization of ensemble of regression trees using genetic algorithms.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Non-contact multi-radar smart probing of body orientation based on micro-Doppler signatures.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
WIREs Data Mining Knowl. Discov., 2013
Stochastic Model Simulation Using Kronecker Product Analysis and Zassenhaus Formula Approximation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
A new approach for prediction of tumor sensitivity to targeted drugs based on functional data.
BMC Bioinform., 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Robust Approaches for Genetic Regulatory Network Modeling and Intervention: A review of recent advances.
IEEE Signal Process. Mag., 2012
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
A Kinase Inhibition Map Approach for Tumor Sensitivity Prediction and Combination Therapy Design for Targeted Drugs.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012
Anticancer drug sensitivity analysis: An integrated approach applied to Erlotinib sensitivity prediction in the CCLE database.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
Combination therapy design for targeted therapeutics from a drug-protein interaction perspective.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
Complexity reduction of stochastic master equation simulation based on Kronecker product analysis.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
A novel approach for tumor sensitivity prediction and combination therapy design for targeted drugs.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011
Generation of intervention strategy for a Genetic Regulatory Network represented by a family of Markov Chains.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
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., 2010
Context-sensitive probabilistic Boolean networks: steady-state properties, reduction, and steady-state approximation.
IEEE Trans. Signal Process., 2010
Int. J. Syst. Sci., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Classification of Alzheimer's disease and mild cognitive impairment by pattern recognition of EEG power and coherence.
Proceedings of the IEEE International Conference on Acoustics, 2010
Control of stochastic master equation models of genetic regulatory networks by approximating their average behavior.
Proceedings of the 2010 IEEE International Workshop on Genomic Signal Processing and Statistics, 2010
Proceedings of the American Control Conference, 2010
2009
IEEE Trans. Signal Process., 2009
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Analyzing steady state probability distributions of Context-sensitive Probabilistic Boolean Networks.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009
2008
IEEE Trans. Signal Process., 2008
Generating structure-function correlations by ICA- based mapping of activation patterns on co-registered fMRI and FA-DTI data.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008
2007
IEEE Trans. Signal Process., 2007
Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention?
IEEE Signal Process. Mag., 2007
2006
IEEE Trans. Signal Process., 2006
2005
Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS.
Bioinform., 2005
Proceedings of the American Control Conference, 2005
2004
A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks.
Bioinform., 2004