Author

Neha Cheemalavagu

University of PittsburghORCID 0000-0002-5947-8864Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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Brandon Alan MichalidesiD· 1 shared James R. FaederiD· 1 shared Karsen E. ShogeriD· 1 shared Rachel A. GottschalkiD· 1 shared Samuel A. Botta· 1 shared Yuqi Cao· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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1 shared paperSystems Biology

Brandon Alan MichalidesORCID

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1 paper

Recent·Most cited

Systems BiologyCell SystemsPeer-reviewedJan 1, 2024

Predicting gene level sensitivity to JAK-STAT signaling perturbation using a mechanistic-to-machine learning framework

Neha Cheemalavagu, Karsen E. Shoger, Yuqi Cao…·Rachel A. Gottschalk

The paper predicts gene sensitivity to JAK-STAT perturbation by linking STAT phosphorylation dynamics to gene expression using a mechanistic-to-machine learning framework.

10 citations

humanbulk RNA-seq

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