Geisel School of Medicine
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.
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.