GENE 245 Project Machine Learning for HiC data
Autor:
Lan Huong Nguyen, Dan Iter, Robert Bierman
Last Updated:
hace 8 años
License:
Creative Commons CC BY 4.0
Resumen:
In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.
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