Author

Caroline Moosmüller

Johns Hopkins UniversityORCID 0000-0002-7728-0261Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Allen TannenbaumiD· 3 shared Joseph O. DeasyiD· 3 shared Zehor BelkhatiriD· 3 shared Christopher John TralieiD· 2 shared José Santos ReyesiD· 2 shared Maryam PouryahyaiD· 2 shared Anh Phong TraniD· 1 shared Arnold J. LevineiD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersBioinformatics

Allen TannenbaumORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintAug 17, 2021

Long-term p21 and p53 trends regulate the frequency of mitosis events and cell cycle arrest

Anh Phong Tran, Christopher John Tralie, Caroline Moosmüller…·Allen Tannenbaum

The paper analyzes two single-cell datasets to study how p21 and p53 dynamics influence cell cycle arrest and mitosis frequency after radiation exposure.

DOI 10.1101/2021.08.17.456721

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsIFAC-PapersOnLinePeer-reviewedJan 1, 2021

Periodicity Scoring of Time Series Encodes Dynamical Behavior of the Tumor Suppressor p53

Caroline Moosmüller, Christopher John Tralie, Mahdi Kooshkbaghi…·Ioannis G. Kevrekidis

The paper introduces a periodicity scoring algorithm for p53 time series and shows its correlation with cell division events.

2 citations

statistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 18, 2019

Network-based clustering for drug sensitivity prediction in cancer cell lines

Maryam Pouryahya, Jung Hun Oh, James C. Mathews…·Allen Tannenbaum

This study introduces a network-based method combining optimal mass transport and machine learning to predict drug sensitivity in cancer cell lines by clustering genomic and chemical features.

DOI 10.1101/764043

humanbulk RNA-seq

𝕏 PostBluesky