[HTML][HTML] Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

C Liu, AM Hogan, H Sturm, MW Khan, MM Islam… - Journal of …, 2022 - Springer
Motivation Chemical–genetic interaction profiling is a genetic approach that quantifies the
susceptibility of a set of mutants depleted in specific gene product (s) to a set of chemical …

[HTML][HTML] Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

C Liu, AM Hogan, H Sturm… - Journal of …, 2022 - jcheminf.biomedcentral.com
Chemical–genetic interaction profiling is a genetic approach that quantifies the susceptibility
of a set of mutants depleted in specific gene product (s) to a set of chemical compounds …

Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles.

C Liu, AM Hogan, H Sturm, MW Khan… - Journal of …, 2022 - search.ebscohost.com
Motivation: Chemical–genetic interaction profiling is a genetic approach that quantifies the
susceptibility of a set of mutants depleted in specific gene product (s) to a set of chemical …

Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles.

C Liu, AM Hogan, H Sturm, MW Khan… - Journal of …, 2022 - europepmc.org
Methods and results In this study, we proposed a comprehensive framework based on the
large-scale chemical-genetics dataset built in Mycobacterium tuberculosis for predicting …

Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

L Chengyou, AM Hogan, H Sturm… - Journal of …, 2022 - search.proquest.com
Methods and results In this study, we proposed a comprehensive framework based on the
large-scale chemical-genetics dataset built in Mycobacterium tuberculosis for predicting …

[HTML][HTML] Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

C Liu, AM Hogan, H Sturm, MW Khan… - Journal of …, 2022 - ncbi.nlm.nih.gov
Methods and results In this study, we proposed a comprehensive framework based on the
large-scale chemical-genetics dataset built in Mycobacterium tuberculosis for predicting …

Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

C Liu, AM Hogan, H Sturm, MW Khan… - Journal of …, 2022 - pubmed.ncbi.nlm.nih.gov
Motivation Chemical-genetic interaction profiling is a genetic approach that quantifies the
susceptibility of a set of mutants depleted in specific gene product (s) to a set of chemical …

[PDF][PDF] Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

C Liu, AM Hogan, H Sturm, MW Khan, MM Islam… - 2022 - d-nb.info
Motivation: Chemical–genetic interaction profiling is a genetic approach that quantifies the
susceptibility of a set of mutants depleted in specific gene product (s) to a set of chemical …

[PDF][PDF] Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

C Liu, AM Hogan, H Sturm, MW Khan, MM Islam… - 2022 - academia.edu
Motivation: Chemical–genetic interaction profiling is a genetic approach that quantifies the
susceptibility of a set of mutants depleted in specific gene product (s) to a set of chemical …

Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles.

C Liu, AM Hogan, H Sturm, MW Khan… - Journal of …, 2022 - go.gale.com
Motivation Chemical-genetic interaction profiling is a genetic approach that quantifies the
susceptibility of a set of mutants depleted in specific gene product (s) to a set of chemical …