MAY 10, 2017 01:30 PM PDT
Mapping Cell States from Single-Cell Gene Expression Data
Presented at the Genetics and Genomics 2017 Virtual Event
CONTINUING EDUCATION (CME/CE/CEU) CREDITS: CEU | P.A.C.E. CE | Florida CE
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Speakers:
  • Associate Professor, Dept. of Biostatistics & Computational Biology, Dana-Farber Cancer Institute & Harvard T.H. Chan School of Public Health
    Biography
      Guo-Cheng Yuan received his B.Sc and M.A. degrees from Peking University, China, and his Ph.D. in Mathematics from University of Maryland at College Park. Dr. Yuan's prior work experience spanned diverse fields including chaos theory and weather prediction. He did postdoctoral training in Computational Biology at Harvard University. He is currently an Associate Professor at the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health.

    Abstract:

    Characterizing cellular hierarchy has profound implications in development and diseases. Single-cell technologies have great potential in discovering new cell types and lineage relationships, but there remain technical and conceptual challenges. In this talk, I will discuss our effort to overcome these challenges. In particular, I will present several computational methods we have recently developed. I will also discuss the perspective of using attractors and bifurcations to understand the dynamics of cell-fate transitions.


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