Non-linear feature selection in high-dimensional genomic data sets

Neyman Seminar
Neyman Seminar
Oct 30, 2019 4:00pm to 5:00pm
1011 Evans Hall
Happening As Scheduled
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...
Chloé-Agathe Azencott, Mines ParisTech