Focus: Modeling cell
heterogeneity: from single-cell variations to mixed cells.
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.
Source: Modeling cell heterogeneity:
from single-cell variations to mixed cells. Batchelor E (eric.batchelor@nih.gov), Kann MG,
Przytycka TM, Raphael BJ, Wojtowicz D. Pac Symp Biocomput. 2013:445-50.
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