Modeling cell heterogeneity: From single-cell variations to mixed cells

Eric Batchelor, Maricel G. Kann, Teresa M. Przytycka, Benjamin J. Raphael, Damian Wojtowicz

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Emerging technologies such as single cell gene expression analysis and single cell genome sequencing provide an unprecedented opportunity to quantitatively probe biological interactions at the single cell level. This new level of insight has begun to reveal a more accurate picture of cellular behavior, and to highlight the importance of understanding cellular variation in a wide range of biological contexts. The aim of this workshop is to bring together researchers working on identifying and modeling cell heterogeneity that arises by a variety of mechanisms, including but not limited to cell-to-cell noise, cell-state switches and cell differentiation, heterogeneity in immune responses, cancer evolution, and heterogeneity in disease progression.

Original languageEnglish (US)
Pages (from-to)445-450
Number of pages6
JournalPacific Symposium on Biocomputing
StatePublished - 2013
Externally publishedYes
Event18th Pacific Symposium on Biocomputing, PSB 2013 - Kohala Coast, United States
Duration: Jan 3 2013Jan 7 2013

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computational Theory and Mathematics


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