Author

S. M. Rahman

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Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Organism:yeast· 1

Frequent Co-Authors

A. Alshawabkeh· 1 shared A. Z. Gu· 1 shared D. Kaeli· 1 shared J. Dy· 1 shared J. Lan· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Alshawabkeh

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1 paper

Recent·Most cited

Machine Learning-based Biomarkers Identification and Validation from Toxicogenomics - Bridging to Regulatory Relevant Phenotypic Endpoints

S. M. Rahman, J. Lan, D. Kaeli, J. Dy, A. Alshawabkeh, A. Z. Gu

The paper identifies and validates biomarkers using machine learning to predict in vivo phenotypic toxicity endpoints from in vitro toxicogenomic data.

bioRxiv · Dec 18, 2020Pharmacology & Toxicology