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GENE 245 Project Machine Learning for HiC data
GENE 245 Project Machine Learning for HiC data
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.
Lan Huong Nguyen, Dan Iter, Robert Bierman

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