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Saugato Rahman Dhruba

Showing results (1-10 of 24) with videos related to

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Scientific Reports|February 9, 2019
Functional random forest with applications in dose-response predictionsRaziur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, et al.
BMC Bioinformatics|December 29, 2018
Application of transfer learning for cancer drug sensitivity predictionSaugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics DatabasesSaugato Rahman Dhruba, Raziur Rahmanl, Kevin Matlockl, et al.
BMC Bioinformatics|June 21, 2019
Recursive model for dose-time responses in pharmacological studiesSaugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, et al.
Nature Communications|September 3, 2020
Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networksOmid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba, et al.
Briefings in Bioinformatics|December 18, 2019
Evaluating the consistency of large-scale pharmacogenomic studiesRaziur Rahman, Saugato Rahman Dhruba, Kevin Matlock, et al.
Biorxiv : the Preprint Server for Biology|October 27, 2023
Deactivation of ligand-receptor interactions enhancing lymphocyte infiltration drives melanoma resistance to Immune Checkpoint BlockadeSahil Sahni, Binbin Wang, Di Wu, et al.
Nature Communications|October 14, 2024
A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune checkpoint blockadeSahil Sahni, Binbin Wang, Di Wu, et al.
NPJ Precision Oncology|April 15, 2026
Deep learning inference of cell type-specific gene expression from breast tumor histopathologyAndrew T Wang, Saugato Rahman Dhruba, Emma M Campagnolo, et al.
Nature Cancer|June 3, 2024
LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic featuresTian-Gen Chang, Yingying Cao, Hannah J Sfreddo, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Scientific Reports|February 9, 2019
Functional random forest with applications in dose-response predictionsRaziur Rahman, Saugato Rahman Dhruba, Souparno Ghosh, et al.
BMC Bioinformatics|December 29, 2018
Application of transfer learning for cancer drug sensitivity predictionSaugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics DatabasesSaugato Rahman Dhruba, Raziur Rahmanl, Kevin Matlockl, et al.
BMC Bioinformatics|June 21, 2019
Recursive model for dose-time responses in pharmacological studiesSaugato Rahman Dhruba, Aminur Rahman, Raziur Rahman, et al.
Nature Communications|September 3, 2020
Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networksOmid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba, et al.
Briefings in Bioinformatics|December 18, 2019
Evaluating the consistency of large-scale pharmacogenomic studiesRaziur Rahman, Saugato Rahman Dhruba, Kevin Matlock, et al.
Biorxiv : the Preprint Server for Biology|October 27, 2023
Deactivation of ligand-receptor interactions enhancing lymphocyte infiltration drives melanoma resistance to Immune Checkpoint BlockadeSahil Sahni, Binbin Wang, Di Wu, et al.
Nature Communications|October 14, 2024
A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune checkpoint blockadeSahil Sahni, Binbin Wang, Di Wu, et al.
NPJ Precision Oncology|April 15, 2026
Deep learning inference of cell type-specific gene expression from breast tumor histopathologyAndrew T Wang, Saugato Rahman Dhruba, Emma M Campagnolo, et al.
Nature Cancer|June 3, 2024
LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic featuresTian-Gen Chang, Yingying Cao, Hannah J Sfreddo, et al.
Pageof 3