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UCLA is hosting a 1-day colloquium on Tuesday, October 7th 2014, on Systems Biology Analysis Methods for Genomic Data at the Center for the Health Sciences (13-105 CHS), University of California Los Angeles. 

This full day event is open to the public, but space is limited. To register for this event send an email with subject line "Network Analysis"
to This email address is being protected from spambots. You need JavaScript enabled to view it.

Speakers will discuss network analysis methods widely used in systems biologic and systems genetic applications. The goal is to familiarize researchers with network methods and software for integrating genomic data sets with complex phenotype data. Participants will learn how to integrate disparate data sets (genetic variation, gene expression, complex phenotypes, gene ontology information) and use networks for identifying disease genes, pathways and key regulators. We also describe applications to DNA methylation data and the epigenetic clock software.

This full day event is open to the public, but space is limited. To register for this event send an email with subject line "Network Analysis" to This email address is being protected from spambots. You need JavaScript enabled to view it.

Speakers:

SHorvathSteve Horvath, PhD

Professor of Human Genetics & Biostatistics
UCLA
PLangfelderPeter Langfelder, PhD
Department of Human Genetics
UCLA
 
Schedule

9:30am - 10:30am: Hierarchical clustering and the dynamic tree cut algorithm. Peter Langfelder

10:45am - noon: Weighted correlation network analysis. Steve Horvath

Noon - 1:30pm Break for lunch

1:30pm - 2:15pm: Consensus network analysis. Peter Langfelder

2:20pm - 3:15pm: R software tutorial for WGCNA. Steve Horvath

3:30pm - 4:15pm: Systems genetic analysis with structural equation models.Steve Horvath

4:30pm - 5:15pm: The epigenetic clock and user-friendly software. Steve Horvath

Advance notice: A week-long Network workshop will be held on the UCLA campus in the summer
of 2015. If you wish to be on the mailing list for this and future events, please email This email address is being protected from spambots. You need JavaScript enabled to view it.