title: Modeling cell heterogeneity: from single-cell variations to mixed cells.
abstract: 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.
authors: Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20894, USA. eric.batchelor@nih.gov
authors: Eric
authors: E
authors: Batchelor
authors: Maricel G
authors: MG
authors: Kann
authors: Teresa M
authors: TM
authors: Przytycka
authors: Benjamin J
authors: BJ
authors: Raphael
authors: Damian
authors: D
authors: Wojtowicz
mesh_terms: D000818:Animals; D002454:Cell Differentiation; D002468:Cell Physiological Phenomena; D019295:Computational Biology; D015870:Gene Expression; D006801:Humans; D007111:Immunity, Cellular; D008954:Models, Biological; D009369:Neoplasms / Q000209:etiology; D059010:Single-Cell Analysis / Q000706:statistics & numerical data*