Author

K. Mo

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. T. Papenfuss· 1 shared C. M. Hovens· 1 shared C. S. Ong· 1 shared F. Markowetz· 1 shared G. Macintyre· 1 shared J. Schröder· 1 shared K. Yuan· 1 shared M. Cmero· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. T. Papenfuss

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1 paper

Recent·Most cited

SVclone: inferring structural variant cancer cell fraction

M. Cmero, C. S. Ong, K. Yuan, J. Schröder, K. Mo, PCAWG Evolution and Heterogeneity Working Group, N. M. Corcoran, A. T. Papenfuss, C. M. Hovens, F. Markowetz, G. Macintyre

SVclone infers cancer cell fractions of structural variant breakpoints from whole-genome sequencing data and identifies subclonal copy-number neutral rearrangements linked to decreased survival in certain cancers.

Nature Communications · Feb 5, 2020Peer-reviewedCancer Biology