- Interpretable dimensionality reduction of single cell transcriptome data with deep generative models.
- The RNA-binding protein YBX1 regulates epidermal progenitors at a posttranscriptional level.
- Characteristics and outcome of the COEUR Canadian validation cohort for ovarian cancer biomarkers.
- Identification of cancer-associated missense mutations in hace1 that impair cell growth control and Rac1 ubiquitylation.
May 16, 2016
Roth A, et al. Clonal genotype and population structure inference from single-cell tumor sequencing. Nature Methods. 2016 May 16. doi: 10.1038/nmeth.3867. [Epub ahead of print] Our Nature Methods paper details a new statistical approach for analysing single cell genomics data. The manuscript describes a novel statistical model coupled with a mean field variational inference method […]
May 16, 2016
McPherson A, Roth A, Laks E, Masud T, Bashashati A, Zhang AW, Ha G, Biele J, Yap D, Wan A, Prentice L, Khattra J, Mullaly SC, Kalloger S, Karnezis A, Shumansky K, Siu C, Rosner J, Chan HL, Ho J, Melnyk N, Senz J, Yang W, Moore R, Mungall A, Marra MA, Bouchard-Cote A, Gilks […]
April 25, 2013
Press Release from Genome BC Press Release from Genome Canada Dr. Sohrab Shah awarded two grants in the Canadian Institutes of Health Research / Genome Canada 2012 Bioinformatics And Computational Biology Competition: 1. Measuring and modeling tumour evolution from next generation sequencing data: enabling clinical study of clonal diversity in cancer patients 2. Computational interpretation of […]