Author

A. Malyutina

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pharmacology & Toxicology· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Pessia· 2 shared J. TangiD· 2 shared W. Wang· 2 shared B. ZagidulliniD· 1 shared C. A. Heckman· 1 shared J. Aldahdooh· 1 shared J. Saad· 1 shared M. M. Majumder· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersPharmacology & Toxicology

A. Pessia

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2 papers

Recent·Most cited

DrugComb - an integrative cancer drug combination data portal

B. Zagidullin, J. Aldahdooh, S. Zheng, W. Wang, Y. Wang, J. Saad, A. Malyutina, A. Pessia, J. Tang

DrugComb provides an open-access portal for drug combination screening data, enabling analysis and prediction of drug synergy using linear regression and chemical fingerprints.

bioRxiv · Feb 25, 2019Pharmacology & Toxicology

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer

A. Malyutina, M. M. Majumder, W. Wang, A. Pessia, C. A. Heckman, J. Tang

This paper introduces a drug combination sensitivity score (CSS) to efficiently evaluate drug synergy in cancer, showing high reproducibility and predictive accuracy.

bioRxiv · Jan 4, 2019Pharmacology & Toxicology