Author

Sarah Elizabeth Stockman

University of Colorado Boulder

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Cancer Biology· 1

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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Aaron J. ClausetiD· 1 shared Benjamin Guy BitleriD· 1 shared Grace I. BowmaniD· 1 shared Hope A. TownsendiD· 1 shared Jennifer K. RicheriD· 1 shared Junxiao HuiD· 1 shared Kian BehbakhtiD· 1 shared Kimberly Rae JordaniD· 1 shared

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Aaron J. ClausetORCID

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintApr 24, 2026

On the predictability of progression-free survival in ovarian cancer from NanoString gene expression data

Lucy B. Van Kleunen, Grace I. Bowman, Sarah Elizabeth Stockman…·Aaron J. Clauset

This study investigates the predictability of progression-free survival in ovarian cancer using NanoString gene expression data from pre- and post-chemotherapy samples, finding low predictability and suggesting the need for larger datasets.

1 citation

humanbulk RNA-seq

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