Souparno Ghosh

28 papers Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
Briefings Bioinform.
Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025 J jnl
AdapTor: Adaptive Topological Regression for quantitative structure-activity relationship modeling.
J. Cheminformatics
Yixiang Mao, Souparno Ghosh, Ranadip Pal
2025 J jnl
Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis.
CoRR
Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov, Andreas Wilke, Natasha Koussa, Sara E. Jones, Yitan Zhu, Jamie C. Overbeek, Rajeev Jain, Gayara Demini Fernando, Cesar Sanchez-Villalobos, Cristina Garcia-Cardona, Jamaludin Mohd-Yusof, Nicholas Chia, Justin M. Wozniak, Souparno Ghosh, Ranadip Pal, Thomas S. Brettin, M. Ryan Weil, Rick L. Stevens
2025 J jnl
Testing for the Important Components of Predictive Variance.
Stat. Anal. Data Min.
Dean Dustin, Souparno Ghosh, Bertrand S. Clarke
2024 J jnl
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data.
CoRR
Jamie C. Overbeek, Alexander Partin, Thomas S. Brettin, Nicholas Chia, Oleksandr Narykov, Priyanka Vasanthakumari, Andreas Wilke, Yitan Zhu, Austin Clyde, Sara Jones, Rohan Gnanaolivu, Yuanhang Liu, Jun Jiang, Chen Wang, Carter Knutson, Andrew D. McNaughton, Neeraj Kumar, Gayara Demini Fernando, Souparno Ghosh, Cesar Sanchez-Villalobos, Ruibo Zhang, Ranadip Pal, M. Ryan Weil, Rick L. Stevens
2024 — conf
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests.
EMBC
Daniel Nolte, Souparno Ghosh, Ranadip Pal
2024 J jnl
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests.
CoRR
Daniel Nolte, Souparno Ghosh, Ranadip Pal
2024 J jnl
Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms.
Sensors
Eric Rodene, Gayara Demini Fernando, Ved Piyush, Yufeng Ge, James C. Schnable, Souparno Ghosh, Jinliang Yang
2024 J jnl
Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors.
Stat. Anal. Data Min.
Zhuanzhuan Ma, Zifei Han, Souparno Ghosh, Liucang Wu, Min Wang
2023 J jnl
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks.
CoRR
Ved Piyush, Yuchen Yan, Yuzhen Zhou, Yanbin Yin, Souparno Ghosh
2022 J jnl
A novel Bayesian method for variable selection and estimation in binary quantile regression.
Stat. Anal. Data Min.
Mai Dao, Min Wang, Souparno Ghosh
2022 J jnl
Bayesian variable selection and estimation in quantile regression using a quantile-specific prior.
Comput. Stat.
Mai Dao, Min Wang, Souparno Ghosh, Keying Ye
2022 J jnl
Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations.
Briefings Bioinform.
Ruibo Zhang, Souparno Ghosh, Ranadip Pal
2021 J jnl
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction.
Bioinform.
Omid Bazgir, Souparno Ghosh, Ranadip Pal
2020 J jnl
A spatially explicit model of postdisaster housing recovery.
Comput. Aided Civ. Infrastructure Eng.
Ali Nejat, Roxana J. Javid, Souparno Ghosh, Saeed Moradi
2020 J jnl
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction.
CoRR
Omid Bazgir, Souparno Ghosh, Ranadip Pal
2019 J jnl
Evaluating the consistency of large-scale pharmacogenomic studies.
Briefings Bioinform.
Raziur Rahman, Saugato Rahman Dhruba, Kevin Matlock, Carlos De Niz, Souparno Ghosh, Ranadip Pal
2019 J jnl
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks.
CoRR
Omid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba, Raziur Rahman, Souparno Ghosh, Ranadip Pal
2019 J jnl
Recursive model for dose-time responses in pharmacological studies.
BMC Bioinform.
Saugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, Souparno Ghosh, Ranadip Pal
2019 J jnl
Social media data and post-disaster recovery.
Int. J. Inf. Manag.
Mehdi Jamali, Ali Nejat, Souparno Ghosh, Fang Jin, Guofeng Cao
2019 J jnl
Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features.
Bioinform.
Kevin Matlock, Raziur Rahman, Souparno Ghosh, Ranadip Pal
2018 — conf
Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases.
EMBC
Raziur Rahman, Chamila Perera, Souparno Ghosh, Ranadip Pal
2018 J jnl
Application of transfer learning for cancer drug sensitivity prediction.
BMC Bioinform.
Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
2018 — conf
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases.
EMBC
Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal
2018 J jnl
Investigation of model stacking for drug sensitivity prediction.
BMC Bioinform.
Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal
2018 — conf
Recursive Model for Dose-time Responses in Pharmacological Studies.
BCB
Aminur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, Ranadip Pal
2018 J jnl
Sequential feature selection and inference using multi-variate random forests.
Bioinform.
Joshua Mayer, Raziur Rahman, Souparno Ghosh, Ranadip Pal
2017 — conf
Investigation of Model Stacking for Drug Sensitivity Prediction.
BCB
Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal