title: SESSION INTRODUCTION.
abstract: Recent technological developments allow gathering single-cell measurements across different domains (genomic, transcriptomics, proteomics, imaging etc). Sophisticated computational algorithms are required in order to harness the power of single-cell data. This session is dedicated to computational methods for single-cell analysis in various biological domains, modelling of population heterogeneity, as well as translational applications of single cell data.
authors.affiliation: Department of Microbiology & Immunology, Stanford Medical School Stanford 94305 CA, USA, samusik@stanford.edu.
authors.forename: Nikolay
authors.initials: N
authors.lastname: Samusik
authors.forename: Nima
authors.initials: N
authors.lastname: Aghaeepour
authors.forename: Sean
authors.initials: S
authors.lastname: Bendall