Author

Christopher Michael Pietras

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· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Donna K. SlonimiD· 2 shared Di ZhouiD· 1 shared Diana Sapashnik· 1 shared Faith Ocitti· 1 shared Fangfang Qu· 1 shared Inbar FriediD· 1 shared Kapil DevkotaiD· 1 shared Lior KofmaniD· 1 shared

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2019-2023 · peak 1/yr

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10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Donna K. SlonimORCID

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2 papers

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

TEMPO: Detecting Pathway-Specific Temporal Dysregulation of Gene Expression in Disease

Christopher Michael Pietras, Faith Ocitti, Donna K. Slonim

TEMPO detects pathway-specific temporal dysregulation in disease by analyzing combined temporal data from multiple individuals.

bioRxiv · May 27, 2019 · PreprintBioinformatics