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Xiaole Shirley Liu

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Xiaole Shirley Liu
Liu receiving her International Society for Computational Biology fellowship in 2019
Born
刘小乐
Alma materSmith College (BA)
Stanford University (PhD)
AwardsISCB Fellow (2019)[1]
Breast Cancer Research Foundation Investigator
Scientific career
Fields
InstitutionsDana–Farber Cancer Institute
Harvard University
ThesisDiscovery of transcription factor binding sites using computational statistics (2002)
Doctoral advisorDouglas Brutlag[3]
Jun S. Liu[4]
Websiteliulab.dfci.harvard.edu

Xiaole Shirley Liu (刘小乐) is a Professor in the Department of Data Sciences at the Dana–Farber Cancer Institute and Harvard T.H. Chan School of Public Health.[4][2][5][6][7] She was educated at Stanford University where her thesis committee included Douglas Brutlag [Wikidata], Jun S. Liu, Russ Altman, Patrick O. Brown and Rob Tibshirani.[3] She was elected a Fellow of the International Society for Computational Biology (ISCB) in 2019 for her “outstanding contributions to the fields of computational biology and bioinformatics”.[1]

References

  1. ^ a b Anon (2019). "ISCB Fellows". iscb.org. International Society for Computational Biology. Archived from the original on 2019-03-30.
  2. ^ a b Xiaole Shirley Liu publications indexed by Google Scholar Edit this at Wikidata
  3. ^ a b Liu, Xiaole Shirley (2002). Discovery of transcription factor binding sites using computational statistics (PhD thesis). Stanford University. OCLC 84915802. ProQuest 305549892. Closed access icon
  4. ^ a b Xiaole Shirley Liu at the Mathematics Genealogy Project Edit this at Wikidata
  5. ^ Xiaole Shirley Liu's ORCID 0000-0003-4736-7339
  6. ^ Xiaole Shirley Liu at DBLP Bibliography Server Edit this at Wikidata
  7. ^ Zhang, Yong; Liu, Tao; Meyer, Clifford A; Eeckhoute, Jérôme; Johnson, David S; Bernstein, Bradley E; Nussbaum, Chad; Myers, Richard M; Brown, Myles; Li, Wei; Liu, X Shirley (2008). "Model-based Analysis of ChIP-Seq (MACS)". Genome Biology. 9 (9): R137. doi:10.1186/gb-2008-9-9-r137. ISSN 1465-6906. PMC 2592715. PMID 18798982.{{cite journal}}: CS1 maint: unflagged free DOI (link)


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