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ORCIDSouparno Ghosh
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2020 – today
- 2024
[j14]Zhuanzhuan Ma
, Zifei Han, Souparno Ghosh, Liucang Wu, Min Wang:
Sparse Bayesian variable selection in high-dimensional logistic regression models with correlated priors. Stat. Anal. Data Min. 17(1) (2024)- [j13]Eric Rodene, Gayara Demini Fernando, Ved Piyush, Yufeng Ge, James C. Schnable, Souparno Ghosh, Jinliang Yang:
Image Filtering to Improve Maize Tassel Detection Accuracy Using Machine Learning Algorithms. Sensors 24(7): 2172 (2024) - [c5]Daniel Nolte, Souparno Ghosh, Ranadip Pal:
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests. EMBC 2024: 1-6 - [i5]Daniel Nolte, Souparno Ghosh, Ranadip Pal:
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests. CoRR abs/2402.14080 (2024) - [i4]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:
Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. CoRR abs/2409.12215 (2024) - 2023
- [i3]Ved Piyush, Yuchen Yan, Yuzhen Zhou, Yanbin Yin, Souparno Ghosh:
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks. CoRR abs/2307.10436 (2023) - 2022
- [j12]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) - [j11]Mai Dao, Min Wang, Souparno Ghosh, Keying Ye:
Bayesian variable selection and estimation in quantile regression using a quantile-specific prior. Comput. Stat. 37(3): 1339-1368 (2022) - [j10]Mai Dao, Min Wang, Souparno Ghosh:
A novel Bayesian method for variable selection and estimation in binary quantile regression. Stat. Anal. Data Min. 15(6): 766-780 (2022) - 2021
- [j9]Omid Bazgir, Souparno Ghosh, Ranadip Pal:
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. Bioinform. 37(Supplement): 42-50 (2021) - 2020
- [j8]Ali Nejat, Roxana J. Javid, Souparno Ghosh, Saeed Moradi:
A spatially explicit model of postdisaster housing recovery. Comput. Aided Civ. Infrastructure Eng. 35(2): 150-161 (2020) - [i2]Omid Bazgir, Souparno Ghosh, Ranadip Pal:
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction. CoRR abs/2009.04076 (2020)
2010 – 2019
- 2019
- [j7]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): 1734-1753 (2019) - [j6]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): 3143-3145 (2019) - [j5]Saugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Recursive model for dose-time responses in pharmacological studies. BMC Bioinform. 20-S(12): 317:1-317:12 (2019) - [j4]Mehdi Jamali, Ali Nejat, Souparno Ghosh, Fang Jin, Guofeng Cao:
Social media data and post-disaster recovery. Int. J. Inf. Manag. 44: 25-37 (2019) - [i1]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 abs/1912.05687 (2019) - 2018
- [j3]Joshua Mayer, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Sequential feature selection and inference using multi-variate random forests. Bioinform. 34(8): 1336-1344 (2018) - [j2]Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Investigation of model stacking for drug sensitivity prediction. BMC Bioinform. 19-S(3): 21-33 (2018) - [j1]Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal:
Application of transfer learning for cancer drug sensitivity prediction. BMC Bioinform. 19-S(17): 51-63 (2018) - [c4]Aminur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, Ranadip Pal:
Recursive Model for Dose-time Responses in Pharmacological Studies. BCB 2018: 583 - [c3]Raziur Rahman, Chamila Perera, Souparno Ghosh, Ranadip Pal:
Adaptive Multi-task Elastic Net based feature selection from Pharmacogenomics Databases. EMBC 2018: 279-282 - [c2]Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh, Ranadip Pal:
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. EMBC 2018: 1246-1249 - 2017
- [c1]Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh, Ranadip Pal:
Investigation of Model Stacking for Drug Sensitivity Prediction. BCB 2017: 772
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