Document Type
Article
Publication Date
5-29-2013
Publication Title
Genome Biology
Department
Geisel School of Medicine
Abstract
By its very nature, genomics produces large, high-dimensional datasets that are well suited to analysis by machine learning approaches. Here, we explain some key aspects of machine learning that make it useful for genome annotation, with illustrative examples from ENCODE.
DOI
10.1186/gb-2013-14-5-205
Dartmouth Digital Commons Citation
Yip, Kevin Y.; Cheng, Chao; and Gerstein, Mark, "Machine Learning and Genome Annotation: A Match Meant to Be?" (2013). Dartmouth Scholarship. 891.
https://digitalcommons.dartmouth.edu/facoa/891
