Author

Ann Strange

University of Colorado AnschutzORCID 0000-0002-6655-0959Unclaimed 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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Research Focus:cell type annotation· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

Adrie van BokhoveniD· 1 shared Bifeng GaoiD· 1 shared Brian Thompson· 1 shared Carol M. AmatoiD· 1 shared Christine Archer· 1 shared David Michael WoodsiD· 1 shared Emily M. MonkiD· 1 shared Hatem E. SabaawyiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

Adrie van BokhovenORCID

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2 papers

Recent·Most cited

Evolutionary conserved reciprocal senescence and tumor suppressor signals limit lifetime cancer

Liqiong Liu, Stephani A. Davis, Shamila Yusuff, Ann Strange, Yonghua Zhuang, Prasanna Kumar Vaddi, Kathleen Flaherty, Kelly Jara, Joseph Kramer, Christine Archer, Schuyler Lee, Bifeng Gao, Adrie van Bokhoven, Wei Wang, Sharon R. Pine, , Hatem E. Sabaawy

This study identifies an evolutionary conserved INK4-homolog, ink4ab, which triggers senescence and suppresses cancer by regulating reciprocal senescence and apoptosis pathways.

bioRxiv · Dec 28, 2024 · PreprintCancer Biology

PhenoComb: A discovery tool to assess complex phenotypes in high-dimension, single-cell datasets

Paulo E. P. Burke, Ann Strange, Emily M. Monk, Brian Thompson, Carol M. Amato, David Michael Woods

PhenoComb assesses all marker combinations in high-dimensional single-cell data to identify complex phenotypes, finding relevant immune phenotypes in HIV and COVID datasets.

Bioinformatics Advances · Jan 1, 2022Peer-reviewedBioinformatics