Author

Faith Ocitti

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· 1 Organism:C. elegans· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:non-human primate· 1

Frequent Co-Authors

Bonnie BergeriD· 1 shared Charlotte Versavel· 1 shared Christopher Michael Pietras· 1 shared Donna K. SlonimiD· 1 shared Hollie M. PutnamiD· 1 shared Jinkyu YangiD· 1 shared Judith Klein‐SeetharamaniD· 1 shared Kapil DevkotaiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Bonnie BergerORCID

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2 papers

Recent·Most cited

Decoding the Functional Interactome of Non-Model Organisms with PHILHARMONIC

Samuel Sledzieski, Charlotte Versavel, Rohit Singh, Faith Ocitti, Kapil Devkota, Lokender Kumar, Polina Shpilker, Liza M. Roger, Jinkyu Yang, Nastassja A. Lewinski, Hollie M. Putnam, Bonnie Berger, Judith Klein‐Seetharaman, Lenore Cowen

PHILHARMONIC infers protein interaction networks and functional organization in non-model organisms using deep learning and spectral clustering, validated in Drosophila and coral symbionts.

Lecture notes in computer science · Jan 1, 2025Peer-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