Author

Klara E. Noble-Orcutt

University of MinnesotaORCID 0000-0002-9235-3326Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Chad L. MyersiD· 1 shared Timothy K. StarriD· 1 shared Wen Wang· 1 shared Yoonkyu LeeiD· 1 shared Zohar SachsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperCancer Biology

Chad L. MyersORCID

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1 paper

Recent·Most cited

Single cell Correlation Analysis (SCA): Identifying self-renewing subpopulation of human acute myeloid leukemia stem cells using single cell RNA sequencing analysis

Yoonkyu Lee, Wen Wang, Timothy K. Starr, Klara E. Noble-Orcutt, Chad L. Myers, Zohar Sachs

This paper introduces SCA, a computational method for identifying rare LSC populations in AML using scRNA-seq, and finds a conserved self-renewal program associated with poor prognosis.

bioRxiv · Mar 2, 2026 · PreprintCancer Biology