Author

Rebecca Newman

Tufts UniversityORCID 0000-0001-8152-8066Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Christopher Michael Pietras· 1 shared Di ZhouiD· 1 shared Diana Sapashnik· 1 shared Donna K. SlonimiD· 1 shared Fangfang Qu· 1 shared Inbar FriediD· 1 shared Kapil DevkotaiD· 1 shared Lior KofmaniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Christopher Michael Pietras

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1 paper

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedFeb 16, 2023

Cell-specific imputation of drug connectivity mapping with incomplete data

Diana Sapashnik, Rebecca Newman, Christopher Michael Pietras…·Donna K. Slonim

The paper evaluates methods for imputing drug connectivity mapping with incomplete data, finding that neighborhood-based collaborative filtering performs best when cell type is considered.

6 citations

bulk RNA-seqmachine learning (classical)

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