Big data and complex collections representing individual variety require new approaches for analysis and correlation between clinical manifestations of disease and molecular patterns that define it. Machine learning approaches allow computational power to be applied to these challenges. We will review data exploration using dimensionality reduction and clustering and explore how classification and discriminant analysis for labeled datasets can help detect relationships in large-scale datasets. Unsupervised & supervised learning.
The event "Big Data Problem: Using Machine Learning for Complex Gene Expression Data" has expired.
Start Time
8:00 am
Monday, October 12, 2020
Finish Time
9:00 am
Monday, October 12, 2020
Address
Online
