Interaction-based Methods for Uncovering Genes Functionally Important in Cancers

Published on ● Video Link: https://www.youtube.com/watch?v=OnGPZHKthFw



Duration: 33:35
406 views
4


Mona Singh, Princeton University
Computational Cancer Biology
https://simons.berkeley.edu/talks/niko-beerenwinkel-02-01-2016




Other Videos By Simons Institute for the Theory of Computing


2016-02-29Random 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
2016-02-05The Current State of Mutation Detection and Prospects for Long Read Sequencing
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
2016-02-05Interaction-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
2016-02-05Inferring Selective Advantage Relationships to Reconstruct Cancer Progression Models
2016-02-05CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer
2016-02-05The Copy Number Transformation Problem
2016-02-05Diverse High Throughput Technologies in Cancer Research and Synthetic Biology
2016-02-05Somatic Structural Variation Discovery in Multiple Cancer Genomes



Tags:
Simons Institute
UC Berkeley
computer science
theory of computing
Algorithmic Challenges in Genomics
Mona Singh