Author

Diana Sapashnik

Tufts University

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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Bioinformatics· 1

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 Donna K. SlonimiD· 1 shared Fangfang Qu· 1 shared Inbar FriediD· 1 shared Kapil DevkotaiD· 1 shared Lior KofmaniD· 1 shared Rebecca NewmaniD· 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

Cell-specific imputation of drug connectivity mapping with incomplete data

Diana Sapashnik, Rebecca Newman, Christopher Michael Pietras, Di Zhou, Kapil Devkota, Fangfang Qu, Lior Kofman, Sean Boudreau, Inbar Fried, 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.

PLoS ONE · Feb 16, 2023Peer-reviewedBioinformatics