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Plos Computational Biology
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February 22, 2023
Kinome inhibition states and multiomics data enable prediction of cell viability in diverse cancer types
Matthew E Berginski, Chinmaya U Joisa, Brian T Golitz, et al.
Diseases of the Colon and Rectum
|
December 20, 2022
Improved Prediction of Surgical-Site Infection After Colorectal Surgery Using Machine Learning
Kevin A Chen, Chinmaya U Joisa, Jonathan M Stem, et al.
The American Surgeon
|
May 3, 2023
Prediction of Ureteral Injury During Colorectal Surgery Using Machine Learning
Kevin A Chen, Chinmaya U Joisa, Jonathan M Stem, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract
|
July 5, 2023
Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach
Kevin A Chen, Paolo Goffredo, David Hu, et al.
Diseases of the Colon and Rectum
|
November 23, 2023
Prediction of Pathologic Complete Response for Rectal Cancer Based on Pretreatment Factors Using Machine Learning
Kevin A Chen, Paolo Goffredo, Logan R Butler, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract
|
September 7, 2022
Development and Validation of Machine Learning Models to Predict Readmission After Colorectal Surgery
Kevin A Chen, Chinmaya U Joisa, Karyn B Stitzenberg, et al.
Peerj
|
November 29, 2023
Integrated single-dose kinome profiling data is predictive of cancer cell line sensitivity to kinase inhibitors
Chinmaya U Joisa, Kevin A Chen, Matthew E Berginski, et al.
Biorxiv : the Preprint Server for Biology
|
August 14, 2023
Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapies
Chinmaya U Joisa, Kevin A Chen, Samantha Beville, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 31, 2023
Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapies
Chinmaya U Joisa, Kevin A Chen, Samantha Beville, et al.
Peerj
|
September 2, 2024
Kinome state is predictive of cell viability in pancreatic cancer tumor and cancer-associated fibroblast cell lines
Matthew E Berginski, Madison R Jenner, Chinmaya U Joisa, et al.
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Search research articles
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Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Plos Computational Biology
|
February 22, 2023
Kinome inhibition states and multiomics data enable prediction of cell viability in diverse cancer types
Matthew E Berginski, Chinmaya U Joisa, Brian T Golitz, et al.
Diseases of the Colon and Rectum
|
December 20, 2022
Improved Prediction of Surgical-Site Infection After Colorectal Surgery Using Machine Learning
Kevin A Chen, Chinmaya U Joisa, Jonathan M Stem, et al.
The American Surgeon
|
May 3, 2023
Prediction of Ureteral Injury During Colorectal Surgery Using Machine Learning
Kevin A Chen, Chinmaya U Joisa, Jonathan M Stem, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract
|
July 5, 2023
Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach
Kevin A Chen, Paolo Goffredo, David Hu, et al.
Diseases of the Colon and Rectum
|
November 23, 2023
Prediction of Pathologic Complete Response for Rectal Cancer Based on Pretreatment Factors Using Machine Learning
Kevin A Chen, Paolo Goffredo, Logan R Butler, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract
|
September 7, 2022
Development and Validation of Machine Learning Models to Predict Readmission After Colorectal Surgery
Kevin A Chen, Chinmaya U Joisa, Karyn B Stitzenberg, et al.
Peerj
|
November 29, 2023
Integrated single-dose kinome profiling data is predictive of cancer cell line sensitivity to kinase inhibitors
Chinmaya U Joisa, Kevin A Chen, Matthew E Berginski, et al.
Biorxiv : the Preprint Server for Biology
|
August 14, 2023
Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapies
Chinmaya U Joisa, Kevin A Chen, Samantha Beville, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
December 31, 2023
Combined kinome inhibition states are predictive of cancer cell line sensitivity to kinase inhibitor combination therapies
Chinmaya U Joisa, Kevin A Chen, Samantha Beville, et al.
Peerj
|
September 2, 2024
Kinome state is predictive of cell viability in pancreatic cancer tumor and cancer-associated fibroblast cell lines
Matthew E Berginski, Madison R Jenner, Chinmaya U Joisa, et al.
Page
of 2