Bioinformatics & Biostatistics Shared Resource at Winship
718 Gatewood Road NEAtlanta,
Georgia30329
Event Type
Lectures and Training
Description
The Bioinformatics & Biostatistics Shared Resource (BBISR) at Winship Cancer Institute is hosting a series of ‘do it yourself’ workshops. The intent of the workshops is to introduce biostatistics and bioinformatics application tools for cancer research, and to equip investigators with tools to enable efficient data mining that will help in formulating specific research questions to address with the BBISR team. Each workshop will provide detailed instruction on the use of the specific tool presented in addition to informing on the guiding principles behind it. All application tools developed by the BBISR can be accessed directly from the BBISR website.
Workshop participants must bring their own laptops to the workshop and are encouraged to bring their own data, in addition to the supplied data. The number of participants in each workshop is limited to 10.
Details
BBISR “Do it Yourself” Workshop Series: Cluster Analysis - Using Not Just Another Heatmap (NOJAH) - REGISTRATION NOW CLOSED
Friday, June 23, 1:00 pm - 3:30 pm
718 Gatewood Rd. NE, Atlanta GA 30329
This workshop has reached maximum capacity and registration is now closed. Contact Felicia West (felicia.west@emory.edu) to be added to the waitlist.
There is no parking at this location. Please use the Emory shuttle or walk. If you drive, you'll have to pay to park at the Michael Street deck (550 Houston Mill Road, Atlanta, 30322.)
How much do you really know about clustering? How do you address clustering problems? What genes to choose? How to select number of clusters? How to identify cluster significance? How to generate clusters based on different genomic platforms?
With NOJAH, you can use:
Any quantitative data type
With NOJAH, you can define:
Clustering using various distance measures
Most variable genes
Statistical significance of a gene set in clustering samples
Number of clusters
Cluster of clusters using multiple genomic datasets