Author

Andrew C. Patt

National Center for Advancing Translational SciencesORCID 0000-0002-6373-9545Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ewy A. MathéiD· 3 shared Atena FarkhondehiD· 1 shared Bryan J. TraynoriD· 1 shared Caroline Strong· 1 shared Chia-Kuie Wu· 1 shared Chloe Chen· 1 shared Cole Tindall· 1 shared Danyal Raza· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Ewy A. MathéORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 21, 2026

CalFluxTools: An R package for analysis of high-throughput calcium oscillation screening data

Andrew C. Patt, William F. Borschel, John Braisted…·Ewy A. Mathé

CalFluxTools automates analysis of calcium flux data from high-throughput screens, providing quality control, statistical tests, and machine learning predictions for toxicity assessment.

DOI 10.64898/2026.09.15.751806

imagingmachine learning (classical)

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedJan 25, 2024

Exploring NCATS In-House Biomedical Data for Evidence-based Drug Repurposing

Fang Liu, Andrew C. Patt, Chloe Chen…·Qian Zhu

The paper explores NCATS biomedical data to identify drug repurposing candidates through chemical clustering and evidence mining.

5 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedNov 14, 2022

RaMP-DB 2.0: a renovated knowledgebase for deriving biological and chemical insight from genes, proteins, and metabolites

John C. Braisted, Andrew C. Patt, Cole Tindall…·Ewy A. Mathé

RaMP-DB 2.0 provides an updated database and tools for functional interpretation of metabolomic and multi-omic data, with enhanced annotations and enrichment analysis capabilities.

68 citationstop 5%

metabolomicsstatistical model

𝕏 PostBluesky