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Omar Kana

Showing results (1-10 of 9) with videos related to

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Journal of Computer-Aided Molecular Design|March 20, 2019
Elucidating the druggability of the human proteome with eFindSiteOmar Kana, Michal Brylinski
Current Opinion in Toxicology|April 22, 2024
Unique challenges and best practices for single cell transcriptomic analysis in toxicologyDavid Filipovic, Omar Kana, Daniel Marri, et al.
Expert Opinion on Drug Metabolism & Toxicology|August 25, 2022
Pharmacokinetic and toxicodynamic concepts in idiosyncratic, drug-induced liver injuryRobert A Roth, Omar Kana, David Filipovic, et al.
Scientific Reports|May 12, 2023
Prediction of mammalian tissue-specific CLOCK-BMAL1 binding to E-box DNA motifsDaniel Marri, David Filipovic, Omar Kana, et al.
STAR Protocols|July 12, 2025
Protocol for predicting single- and multiple-dose-dependent gene expression using deep generative learningDerek E Bowman, Vishal Panda, Daniel Marri, et al.
Patterns (New York, N.Y.)|August 21, 2023
Generative modeling of single-cell gene expression for dose-dependent chemical perturbationsOmar Kana, Rance Nault, David Filipovic, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|September 14, 2023
Interpretable predictive models of genome-wide aryl hydrocarbon receptor-DNA binding reveal tissue-specific binding determinantsDavid Filipovic, Wenjie Qi, Omar Kana, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
scVIP: personalized modeling of single-cell transcriptomes for developmental and disease phenotypesHsin-Yu Lai, Yehchan Yoo, Andreas Tjärnberg, et al.
Nature Neuroscience|October 14, 2024
Integrated multimodal cell atlas of Alzheimer's diseaseMariano I Gabitto, Kyle J Travaglini, Victoria M Rachleff, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Computer-Aided Molecular Design|March 20, 2019
Elucidating the druggability of the human proteome with eFindSiteOmar Kana, Michal Brylinski
Current Opinion in Toxicology|April 22, 2024
Unique challenges and best practices for single cell transcriptomic analysis in toxicologyDavid Filipovic, Omar Kana, Daniel Marri, et al.
Expert Opinion on Drug Metabolism & Toxicology|August 25, 2022
Pharmacokinetic and toxicodynamic concepts in idiosyncratic, drug-induced liver injuryRobert A Roth, Omar Kana, David Filipovic, et al.
Scientific Reports|May 12, 2023
Prediction of mammalian tissue-specific CLOCK-BMAL1 binding to E-box DNA motifsDaniel Marri, David Filipovic, Omar Kana, et al.
STAR Protocols|July 12, 2025
Protocol for predicting single- and multiple-dose-dependent gene expression using deep generative learningDerek E Bowman, Vishal Panda, Daniel Marri, et al.
Patterns (New York, N.Y.)|August 21, 2023
Generative modeling of single-cell gene expression for dose-dependent chemical perturbationsOmar Kana, Rance Nault, David Filipovic, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|September 14, 2023
Interpretable predictive models of genome-wide aryl hydrocarbon receptor-DNA binding reveal tissue-specific binding determinantsDavid Filipovic, Wenjie Qi, Omar Kana, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
scVIP: personalized modeling of single-cell transcriptomes for developmental and disease phenotypesHsin-Yu Lai, Yehchan Yoo, Andreas Tjärnberg, et al.
Nature Neuroscience|October 14, 2024
Integrated multimodal cell atlas of Alzheimer's diseaseMariano I Gabitto, Kyle J Travaglini, Victoria M Rachleff, et al.
Pageof 1