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EVENT DETAILS |
How do we find genes that have a true statistical signficance & a biological relevance? This twoday course will highlight methods of finding genes involved in a disease using statistical methods,visualizations, & biological networks. We will highlight how to use the free statistical package R onthe first day & then work through a biological data set on the second day.
The age of genomics has given us powerful new tools for finding the source of genomic dysfuntion of many diseases. However, having more information has also brought new challenges.Oftentimes, we suffer the curse of dimensionality. This curseoccurs because there are so many genes, but not as many samples of a given diseased population. In this workshop, you will learn how to use R, a programming language & free software environment, to apply statistical analyses to biological data sets, unlocking new ways of understanding the role of genes in disease.
No previous experience with these topics is necessary- beginners are welcome!
Niraj Trivedi has had over 20 years of experience in biomedical research. Graduating from BostonUniversity with his B.S. degree in biomedical engineering & his M.S degree from Case WesternReserve University in biomedical engineering, his early work was in the field of biomedical optics,specifically in the field of photodynamic therapy, a laser activated cancer therapy. He thenentered industry where he focused on microarray technology in all its aspects: working on theinstrumentation of scanners, spotting & preparing arrays, hybridizing arrays with mRNA andanalyzing the arrays. He then went back to academia to focus on the field of bioinformatics, wherehe obtatined his second M.S. degree from Boston University. He has now spent the last 7 yearsat the NIH as a data analyst on bioinformatics & social science data.
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