Author

N. Wlodarchak

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Pharmacology & Toxicology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

A. Gitter· 1 shared C.-p. Lee· 1 shared F. M. Hoffmann· 1 shared G. E. Ananiev· 1 shared H. Zhang· 1 shared J. C. Mitchell· 1 shared M. A. Newton· 1 shared S. A. Wildman· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Gitter

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1 paper

Recent·Most cited

Predicting kinase inhibitors using bioactivity matrix derived informer sets

H. Zhang, S. S. Ericksen, C.-p. Lee, G. E. Ananiev, N. Wlodarchak, J. C. Mitchell, A. Gitter, S. J. Wright, F. M. Hoffmann, S. A. Wildman, M. A. Newton

The paper develops an informer-based ranking method to predict kinase inhibitor activity using chemogenomic data, outperforming traditional chemical diversity-based approaches in both retrospective and prospective tests.

bioRxiv · Jan 28, 2019Pharmacology & Toxicology