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Daniel Nolte
Souparno Ghosh
Ranadip Pal

Showing results (1-10 of 83) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression ForestsDaniel Nolte, Souparno Ghosh, Ranadip Pal
Bioinformatics Advances|April 10, 2023
Federated learning framework integrating REFINED CNN and Deep Regression ForestsDaniel Nolte, Omid Bazgir, Souparno Ghosh, et al.
Nature Communications|June 13, 2024
Topological regression as an interpretable and efficient tool for quantitative structure-activity relationship modelingRuibo Zhang, Daniel Nolte, Cesar Sanchez-Villalobos, et al.
Briefings in Bioinformatics|April 19, 2022
Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendationsRuibo Zhang, Souparno Ghosh, Ranadip Pal
Journal of Cheminformatics|August 28, 2025
AdapTor: Adaptive Topological Regression for quantitative structure-activity relationship modelingYixiang Mao, Souparno Ghosh, Ranadip Pal
Bioinformatics (Oxford, England)|July 12, 2021
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity predictionOmid Bazgir, Souparno Ghosh, Ranadip Pal
Scientific Reports|September 14, 2017
Heterogeneity Aware Random Forest for Drug Sensitivity PredictionRaziur Rahman, Kevin Matlock, Souparno Ghosh, et al.
Bioinformatics (Oxford, England)|January 17, 2019
Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and featuresKevin Matlock, Raziur Rahman, Souparno Ghosh, et al.
Cancer Informatics|April 16, 2016
Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity PredictionRaziur Rahman, Saad Haider, Souparno Ghosh, et al.
Bioinformatics (Oxford, England)|December 22, 2017
Sequential feature selection and inference using multi-variate random forestsJoshua Mayer, Raziur Rahman, Souparno Ghosh, et al.
Pageof 9

Showing results (1-10 of 83) with videos related to

Sort By:
Pageof 9
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression ForestsDaniel Nolte, Souparno Ghosh, Ranadip Pal
Bioinformatics Advances|April 10, 2023
Federated learning framework integrating REFINED CNN and Deep Regression ForestsDaniel Nolte, Omid Bazgir, Souparno Ghosh, et al.
Nature Communications|June 13, 2024
Topological regression as an interpretable and efficient tool for quantitative structure-activity relationship modelingRuibo Zhang, Daniel Nolte, Cesar Sanchez-Villalobos, et al.
Briefings in Bioinformatics|April 19, 2022
Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendationsRuibo Zhang, Souparno Ghosh, Ranadip Pal
Journal of Cheminformatics|August 28, 2025
AdapTor: Adaptive Topological Regression for quantitative structure-activity relationship modelingYixiang Mao, Souparno Ghosh, Ranadip Pal
Bioinformatics (Oxford, England)|July 12, 2021
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity predictionOmid Bazgir, Souparno Ghosh, Ranadip Pal
Scientific Reports|September 14, 2017
Heterogeneity Aware Random Forest for Drug Sensitivity PredictionRaziur Rahman, Kevin Matlock, Souparno Ghosh, et al.
Bioinformatics (Oxford, England)|January 17, 2019
Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and featuresKevin Matlock, Raziur Rahman, Souparno Ghosh, et al.
Cancer Informatics|April 16, 2016
Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity PredictionRaziur Rahman, Saad Haider, Souparno Ghosh, et al.
Bioinformatics (Oxford, England)|December 22, 2017
Sequential feature selection and inference using multi-variate random forestsJoshua Mayer, Raziur Rahman, Souparno Ghosh, et al.
Pageof 9