Modeling Cancer Evolution from Genomic Data

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=rnx-UI3h0MU


Duration: 35:40
1,962 views
38

Niko Beerenwinkel, ETH Zürich
Computational Cancer Biology
https://simons.berkeley.edu/talks/niko-beerenwinkel-02-01-2016



Other Videos By Simons Institute for the Theory of Computing


2016-02-29Counting Independent Sets in Hypergraphs when Strong Spatial Mixing Fails
2016-02-29Swendsen-Wang Algorithm on the Mean-Field Potts Model
2016-02-29Random Walk on Random Directed Graphs
2016-02-29Cutoff on all Ramanujan Graphs
2016-02-29Effect of Initial Conditions on Mixing for Spin Systems
2016-02-29Random Lattice Triangulations
2016-02-29Glauber Dynamics of Lattice Triangulations on Thin Rectangles
2016-02-29FPTAS for #BIS with Degree Bounds on One Side
2016-02-29Curvature, Mixing, and Entropic Interpolation
2016-02-29SAT Counting and Sampling -- From Theory to Practice
2016-02-05Modeling Cancer Evolution from Genomic Data
2016-02-05Mechanisms of Amplification in Tumor Genomes
2016-02-05Algorithms for Population Genomics and Cancer Genomics
2016-02-05Somatic Mutations that Alter RNA Splicing in Human Cancers
2016-02-05Joint Analysis of Multiple Cancer Types for Revealing Disease-Specific Genomic Events
2016-02-05Interaction-based Methods for Uncovering Genes Functionally Important in Cancers
2016-02-05Molecular Characterization for Diagnoses and Treatment
2016-02-05Challenges and Opportunities in Intelligent Molecular Medicine
2016-02-05Molecular Data Integration for Precision Medicine in Breast Cancer
2016-02-05Fast and Scalable Inference of Cancer Cell Lineages Using Multi-sample Deep Sequencing Somatic SNVs
2016-02-05Finding Mutated Subnetworks Associated with Survival in Cancer


Tags:
Simons Institute
UC Berkeley
computer science
theory of computing
Algorithmic Challenges in Genomics
Niko Beerenwinkel