Author

Susan C. Patalano

University of Massachusetts BostonORCID 0000-0003-4265-5083Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:Bayesian inference· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Jill A. MacoskaiD· 2 shared Argenis ArriojasiD· 1 shared Benjamin A. KugleriD· 1 shared Changmeng CaiiD· 1 shared DONG HAN· 1 shared Kai ZouiD· 1 shared Kourosh ZarringhalamiD· 1 shared Meaghan Anderson· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

Jill A. MacoskaORCID

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2 papers

Recent·Most cited

Voluntary Exercise Attenuates Tumor Growth in a Preclinical Model of Castration-Resistant Prostate Cancer

NICOLAS J. A. BERGER, Benjamin A. Kugler, DONG HAN, Mu‐Qing Li, PAUL NGUYEN, Meaghan Anderson, Susan C. Patalano, Songqi Zhang, Jill A. Macoska, Changmeng Cai, Kai Zou

This study shows that voluntary exercise reduces tumor growth in a mouse model of castration-resistant prostate cancer by affecting DNA replication, AR signaling, and mitochondrial dynamics.

Medicine & Science in Sports & Exercise · Mar 26, 2025Peer-reviewedCancer Biology

A Bayesian Noisy Logic Model for Inference of Transcription Factor Activity from Single Cell and Bulk Transcriptomic Data

Argenis Arriojas, Susan C. Patalano, Jill A. Macoska, Kourosh Zarringhalam

This paper introduces a Bayesian model to infer transcription factor activity from gene expression data using logical rules and applies it to bulk and single-cell transcriptomics to study fibroblast plasticity.

NAR Genomics and Bioinformatics · Oct 11, 2023Peer-reviewedBioinformatics