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SUMMARY:Shu Wang (Massachusetts Institute of Technology)
DTSTART:20221013T153000Z
DTEND:20221013T160000Z
DTSTAMP:20260421T124126Z
UID:MoRN/54
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MoRN/54/">In
 ferring CRN properties from single-cell 'omics data</a>\nby Shu Wang (Mass
 achusetts Institute of Technology) as part of Seminar on the Mathematics o
 f Reaction Networks\n\n\nAbstract\nIn recent decades\, single-cell 'omics 
 technology has allowed for measuring the abundance of $10^1$-$10^4$ distin
 ct biochemical species in $10^3$-$10^6$ cells from a single experiment. Su
 ch large datasets potentially contain rich information about the underlyin
 g (bio)chemical reaction networks (CRNs) in cells. We design single-cell '
 omics data analysis methods to infer CRN properties\, such as the stoichio
 metric subspace of a complex-balanced CRN\, by combining data science tech
 niques with algebro-geometric results from CRN theory. ​\n\nEmail: sw543
 @cornell.edu\n
LOCATION:https://researchseminars.org/talk/MoRN/54/
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