Non-linear feature selection in high-dimensional genomic data sets
Neyman Seminar
Oct 30, 2019, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Chloé-Agathe Azencott, Mines ParisTech
Many problems in genomics require the ability to identify relevant
features in data sets containing many more orders of magnitude than
samples. One such example is genome-wide association studies (GWAS), in
which hundreds of thousands of single nucleotide polymorphisms are
measured for orders of magnitude fewer samples.
This setup poses statistical and computational challenges, and for...