BDI Seminar: Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration
We develop a novel method DeMixT for the gene expression deconvolution of three compartments in cancer patient samples: tumor, immune and surrounding stromal cells. In validation studies using mixed cell line and laser-capture microdissection data, DeMixT yielded accurate estimates for both cell proportions and compartment-specific expression profiles. Application to the head and neck cancer data shows DeMixT-based deconvolution provides an important step to link tumor transcriptome data with clinical outcomes.
Date:
21 July 2017, 11:00 (Friday, 13th week, Trinity 2017)
Venue:
Big Data Institute (NDM), Old Road Campus OX3 7LF
Venue Details:
Seminar Room 0
Speaker:
Wenyi Wang (Anderson Cancer Center)
Organising department:
Big Data Institute (NDM)
Organiser:
Graham Bagley (University of Oxford, Nuffield Department of Population Health)
Part of:
BDI seminars
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Graham Bagley
