Ranadip Pal

Orcid: 0000-0002-9311-5901

According to our database1, Ranadip Pal authored at least 68 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Recursive model for dose-time responses in pharmacological studies.
BMC Bioinform., 2019

Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features.
Bioinform., 2019

Evaluating the consistency of large-scale pharmacogenomic studies.
Briefings Bioinform., 2019

2018
Deep Sequencing Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC).
BMC Bioinform., 2018

Investigation of model stacking for drug sensitivity prediction.
BMC Bioinform., 2018

Application of transfer learning for cancer drug sensitivity prediction.
BMC Bioinform., 2018

Sequential feature selection and inference using multi-variate random forests.
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

An investigation of proteomic data for application in precision medicine.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

Recursive Model for Dose-time Responses in Pharmacological Studies.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Combination therapy design for maximizing sensitivity and minimizing toxicity.
BMC Bioinform., 2017

IntegratedMRF: random forest-based framework for integrating prediction from different data types.
Bioinform., 2017

2016
Algorithms for Drug Sensitivity Prediction.
Algorithms, 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

A descriptive model of resting-state networks using Markov chains.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Analyzing drug sensitivity prediction based on dose response curve characteristics.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2014
An Integrated Approach to Anti-Cancer Drug Sensitivity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Inference of dynamic biological networks based on responses to drug perturbations.
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

Analysis of multivariate drug sensitivity dependence structure using copulas.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Gesture recognition for smart home applications using portable radar sensors.
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
Modeling and inference of genetic interactions.
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

Inference of tumor inhibition pathways from drug perturbation data.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A multivariate random forest based framework for drug sensitivity prediction.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

Quantifying the inference power of a drug screen for predictive analysis.
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013

2012
Transient Dynamics of Reduced-Order Models of Genetic Regulatory Networks.
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

Analyzing pathway design from drug perturbation experiments.
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
Inference of a genetic regulatory network model from limited time series data.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

A novel critical time analysis approach for genetic regulatory networks.
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

Stationary and structural control in gene regulatory networks: basic concepts.
Int. J. Syst. Sci., 2010

Classification of cognitive states using functional MRI data.
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

Effect of coarse-scale modeling on control outcome of genetic regulatory networks.
Proceedings of the American Control Conference, 2010

2009
Bayesian robustness in the control of gene regulatory networks.
IEEE Trans. Signal Process., 2009

Adaptive intervention in probabilistic boolean networks.
Bioinform., 2009

Quantification of data extraction noise in probabilistic Boolean Network modeling.
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

Steady-state preserving reduction for genetic regulatory network models.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008
Robust Intervention in Probabilistic Boolean Networks.
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
Dynamics Preserving Size Reduction Mappings for Probabilistic Boolean Networks.
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
Optimal infinite-horizon control for probabilistic Boolean networks.
IEEE Trans. Signal Process., 2006

2005
Generating Boolean networks with a prescribed attractor structure.
Bioinform., 2005

Boolean relationships among genes responsive to ionizing radiation in the NCI 60 ACDS.
Bioinform., 2005

Intervention in context-sensitive probabilistic Boolean networks.
Bioinform., 2005

External control in a special class of probabilistic Boolean networks.
Proceedings of the American Control Conference, 2005

2004
A Bayesian connectivity-based approach to constructing probabilistic gene regulatory networks.
Bioinform., 2004


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