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Workshop 'Single Cell Genomics meets Data Science' - Session 3 'Regulation'
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0:00 Measuring somatic mutations and their consequences to identity and target cancer subclones (Ashley Sanders, BIMSB/MDC, BIH/Charité, Berlin)
31:16 Decoding gene regulation using single-cell multi-omics, deep learning, and synthetic biology (Stein Aerts, KU Leuven)
01:04:14 Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data (Maryna Korshevniuk, UMCG, Groningen)
01:18:28 CanSig: Discovering de novo shared transcriptional programs in single cancer cells (Florian Barkmann, ETH Zurich)
Twitter: @singlecellomics
31:16 Decoding gene regulation using single-cell multi-omics, deep learning, and synthetic biology (Stein Aerts, KU Leuven)
01:04:14 Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data (Maryna Korshevniuk, UMCG, Groningen)
01:18:28 CanSig: Discovering de novo shared transcriptional programs in single cancer cells (Florian Barkmann, ETH Zurich)
Twitter: @singlecellomics
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