title: Digitally deconvolving the tumor microenvironment.
abstract: Understanding a tumor's complex cellular heterogeneity will be crucial for the development of better treatment strategies. A new study suggests a novel method for the in silico dissociation of solid tumors and presents novel insights that have implications for immunotherapy in cancer.Please see the related Research article: www.dx.doi.org/10.1186/s13059-016-1028-7 .
authors.affiliation: Institute for Computational Health Sciences, University of California, Mission Hall, 550 16th Street, 4th Floor, Box 0110, San Francisco, CA, 94158-2549, USA.
authors.forename: Dvir
authors.initials: D
authors.lastname: Aran
authors.affiliation: Institute for Computational Health Sciences, University of California, Mission Hall, 550 16th Street, 4th Floor, Box 0110, San Francisco, CA, 94158-2549, USA. atul.butte@ucsf.edu.
authors.forename: Atul J
authors.initials: AJ
authors.lastname: Butte
mesh_terms: D003131:Combined Modality Therapy; D003198:Computer Simulation; D015316:Genetic Therapy; D006801:Humans; D007167:Immunotherapy / Q000379:methods; D008954:Models, Biological; D058990:Molecular Targeted Therapy; D009369:Neoplasms / Q000209:etiology* / Q000473:pathology* / Q000628:therapy; D059016:Tumor Microenvironment