EPISODE · Jul 25, 2016 · 20 MIN
Machine Learning for Genomics
from Linear Digressions · host Katie Malone
Genomics data is some of the biggest #bigdata, and doing machine learning on it is unlocking new ways of thinking about evolution, genomic diseases like cancer, and what really makes each of us different for everyone else. This episode touches on some of the things that make machine learning on genomics data so challenging, and the algorithms designed to do it anyway.
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