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Amin Emad

Showing results (11-20 of 27) with videos related to

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Bioinformatics (Oxford, England)|June 8, 2022
Looking at the BiG picture: incorporating bipartite graphs in drug response predictionDavid Earl Hostallero, Yihui Li, Amin Emad
Bioinformatics (Oxford, England)|June 16, 2023
Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?Yihui Li, David Earl Hostallero, Amin Emad
Bioinformatics (Oxford, England)|April 6, 2023
MARSY: a multitask deep-learning framework for prediction of drug combination synergy scoresMohamed Reda El Khili, Safyan Aman Memon, Amin Emad
Scientific Reports|April 28, 2018
A closer look at cross-validation for assessing the accuracy of gene regulatory networks and modelsShayan Tabe-Bordbar, Amin Emad, Sihai Dave Zhao, et al.
Genome Biology|August 13, 2017
Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistanceAmin Emad, Junmei Cairns, Krishna R Kalari, et al.
Plos Computational Biology|January 23, 2020
Tissue-guided LASSO for prediction of clinical drug response using preclinical samplesEdward W Huang, Ameya Bhope, Jing Lim, et al.
Genomics, Proteomics & Bioinformatics|February 12, 2023
Preclinical-to-clinical Anti-cancer Drug Response Prediction and Biomarker Identification Using TINDLDavid Earl Hostallero, Lixuan Wei, Liewei Wang, et al.
Clinical Proteomics|October 24, 2023
Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19)Eric Yamga, Antoine Soulé, Alain Piché, et al.
Bioinformatics (Oxford, England)|August 20, 2016
A new correlation clustering method for cancer mutation analysisJack P Hou, Amin Emad, Gregory J Puleo, et al.
Communications Medicine|March 15, 2026
Unbiased characterization of COVID-19 endotypes leads to prognostication of high-risk individuals using routine blood testsWilliam Ma, Antoine Soulé, Catherine Allard, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|June 8, 2022
Looking at the BiG picture: incorporating bipartite graphs in drug response predictionDavid Earl Hostallero, Yihui Li, Amin Emad
Bioinformatics (Oxford, England)|June 16, 2023
Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?Yihui Li, David Earl Hostallero, Amin Emad
Bioinformatics (Oxford, England)|April 6, 2023
MARSY: a multitask deep-learning framework for prediction of drug combination synergy scoresMohamed Reda El Khili, Safyan Aman Memon, Amin Emad
Scientific Reports|April 28, 2018
A closer look at cross-validation for assessing the accuracy of gene regulatory networks and modelsShayan Tabe-Bordbar, Amin Emad, Sihai Dave Zhao, et al.
Genome Biology|August 13, 2017
Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistanceAmin Emad, Junmei Cairns, Krishna R Kalari, et al.
Plos Computational Biology|January 23, 2020
Tissue-guided LASSO for prediction of clinical drug response using preclinical samplesEdward W Huang, Ameya Bhope, Jing Lim, et al.
Genomics, Proteomics & Bioinformatics|February 12, 2023
Preclinical-to-clinical Anti-cancer Drug Response Prediction and Biomarker Identification Using TINDLDavid Earl Hostallero, Lixuan Wei, Liewei Wang, et al.
Clinical Proteomics|October 24, 2023
Validation of ANG-1 and P-SEL as biomarkers of post-COVID-19 conditions using data from the Biobanque québécoise de la COVID-19 (BQC-19)Eric Yamga, Antoine Soulé, Alain Piché, et al.
Bioinformatics (Oxford, England)|August 20, 2016
A new correlation clustering method for cancer mutation analysisJack P Hou, Amin Emad, Gregory J Puleo, et al.
Communications Medicine|March 15, 2026
Unbiased characterization of COVID-19 endotypes leads to prognostication of high-risk individuals using routine blood testsWilliam Ma, Antoine Soulé, Catherine Allard, et al.
Pageof 3