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Artem Lysenko

Showing results (1-10 of 30) with videos related to

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Biodata Mining|July 12, 2017
Arete - candidate gene prioritization using biological network topology with additional evidence typesArtem Lysenko, Keith Anthony Boroevich, Tatsuhiko Tsunoda
Briefings in Bioinformatics|July 4, 2025
VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics dataTung Dang, Artem Lysenko, Keith A Boroevich, et al.
Life Science Alliance|December 6, 2018
An integrative machine learning approach for prediction of toxicity-related drug safetyArtem Lysenko, Alok Sharma, Keith A Boroevich, et al.
Scientific Reports|February 11, 2023
DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omicsAlok Sharma, Artem Lysenko, Keith A Boroevich, et al.
Scientific Reports|April 30, 2026
Mathematical modeling of immune counter-regulation predicts efficacy of fractionated CD8<sup>+</sup> T cell dosing strategiesHiroki Kasai, Koji Nagaoka, Artem Lysenko, et al.
Briefings in Bioinformatics|August 9, 2021
DeepFeature: feature selection in nonimage data using convolutional neural networkAlok Sharma, Artem Lysenko, Keith A Boroevich, et al.
Briefings in Bioinformatics|July 31, 2023
scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learningShangru Jia, Artem Lysenko, Keith A Boroevich, et al.
Journal of Human Genetics|February 29, 2024
Advances in AI and machine learning for predictive medicineAlok Sharma, Artem Lysenko, Shangru Jia, et al.
Briefings in Bioinformatics|April 24, 2018
Navigating the disease landscape: knowledge representations for contextualizing molecular signaturesMansoor Saqi, Artem Lysenko, Yi-Ke Guo, et al.
Briefings in Bioinformatics|October 9, 2025
scHDeepInsight: a hierarchical deep learning framework for precise immune cell annotation in single-cell RNA-seq dataShangru Jia, Artem Lysenko, Keith A Boroevich, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Biodata Mining|July 12, 2017
Arete - candidate gene prioritization using biological network topology with additional evidence typesArtem Lysenko, Keith Anthony Boroevich, Tatsuhiko Tsunoda
Briefings in Bioinformatics|July 4, 2025
VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics dataTung Dang, Artem Lysenko, Keith A Boroevich, et al.
Life Science Alliance|December 6, 2018
An integrative machine learning approach for prediction of toxicity-related drug safetyArtem Lysenko, Alok Sharma, Keith A Boroevich, et al.
Scientific Reports|February 11, 2023
DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omicsAlok Sharma, Artem Lysenko, Keith A Boroevich, et al.
Scientific Reports|April 30, 2026
Mathematical modeling of immune counter-regulation predicts efficacy of fractionated CD8<sup>+</sup> T cell dosing strategiesHiroki Kasai, Koji Nagaoka, Artem Lysenko, et al.
Briefings in Bioinformatics|August 9, 2021
DeepFeature: feature selection in nonimage data using convolutional neural networkAlok Sharma, Artem Lysenko, Keith A Boroevich, et al.
Briefings in Bioinformatics|July 31, 2023
scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learningShangru Jia, Artem Lysenko, Keith A Boroevich, et al.
Journal of Human Genetics|February 29, 2024
Advances in AI and machine learning for predictive medicineAlok Sharma, Artem Lysenko, Shangru Jia, et al.
Briefings in Bioinformatics|April 24, 2018
Navigating the disease landscape: knowledge representations for contextualizing molecular signaturesMansoor Saqi, Artem Lysenko, Yi-Ke Guo, et al.
Briefings in Bioinformatics|October 9, 2025
scHDeepInsight: a hierarchical deep learning framework for precise immune cell annotation in single-cell RNA-seq dataShangru Jia, Artem Lysenko, Keith A Boroevich, et al.
Pageof 3