Using Molecular Networks to Seed Predictive Hierarchies of Cell Systems

Published on ● Video Link: https://www.youtube.com/watch?v=R-A3Vm22cV4



Duration: 1:10:40
2,164 views
23


Trey Ideker, UC San Diego
Network Biology
https://simons.berkeley.edu/talks/trey-ideker-04-11-16




Other Videos By Simons Institute for the Theory of Computing


2016-04-29Creating the Third Era of Survey Research
2016-04-15Network Propagation as a Tool for Deciphering Disease Mechanisms
2016-04-15Module Discovery in 3-way Data
2016-04-15Identifying Disease Mechanisms Using Gene Networks as Priors
2016-04-15Local Similarity Analysis (LSA) of Time Series Data and Applications to Metagenomics
2016-04-15Simple Models and Exact Algorithms for Computing Network Modules
2016-04-15Dynamic and Integrative Biological Network Research of Aging
2016-04-15Data Driven "Pathway" Analysis with ADAGE
2016-04-15Efficiently Enumerating All Connected Induced Subgraphs of a Large Molecular Network
2016-04-15Synthesis, Simplification and Analysis of Biological Networks Using Higher Order Topological Connect
2016-04-15Using Molecular Networks to Seed Predictive Hierarchies of Cell Systems
2016-04-15Pathways, Centrality, and Regulation in Developmental Disorders
2016-04-15Algorithms for Combinatorial Problems Arising in the Analysis of Cancer Mutation Networks
2016-04-15On Beyond Genome: Opportunities and Challenges Using the Other Omics for Precision Medicine
2016-04-15Sampling the Low End of Affinity
2016-04-15Systematic Functional Annotation of the 2016 Yeast Genetic Interaction Network
2016-04-15Transcriptional Enhancers - Looking out for the Genes and Each Other
2016-04-15Network Data Integration Enables Precision Medicine
2016-04-15Fathoming Cancer by Interrogating Integrated Interactomes
2016-04-15Network Analysis of Cancer Mutations
2016-04-15Dynamics of 3D Enhancer-Gene Associations Across Diverse Human Cell Types and Tissues



Tags:
Simons Institute
UC Berkeley
computer science
theory of computing
Algorithmic Challenges in Genomics
Trey Ideker