アブストラクト
| Date | 2:00pm Jan 22, 2020 |
| Speaker | Jean-Philippe Vert Senior researcher at Google Brain in Paris Research professor at the Centre for Computational Biology at Mines ParisTech |
| Title | Computational analysis of tumour heterogeneity, from bulk to single-cell genomics |
| Abstract | Understanding intra-tumour heterogeneity (ITH), in particular identifying the presence of subclonal populations of cancer cells that may respond differently to treatments, is key to support precision medicine approaches. Capturing ITH from genomic measures raises however a number of computational challenges. In this talk I will present two specific approaches we have developed to address specific challenges: (i) a method to infer ITH from "bulk" genomic data, in particular whole-exome sequencing data, and capture changes in mutational processes active in different subclones; and (ii) a method to integrate heterogeneous single-cell data, such as gene expression and DNA methylation measures on different cells. |