Author

Fangfang Qu

Tufts UniversityPrimary ORCID profile (0000-0001-5193-0644 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Fangfang QuiD2 papers · Guangzhou Regenerative Medicine and Health Guangdong Laboratory

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 Diana Sapashnik· 1 shared Donna K. SlonimiD· 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

Co-Author Collaboration Network

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