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Predicting genomic interactions using deep learning
(Massachusetts Institute of Technology, 2019)
Physical promoter-enhancer and CTCF-CTCF interactions organize the human genome in 3-dimensions, and contribute to the regulation of gene expression. Hi-C and related approaches have enabled profiling of these interactions, ...
Alternating conditional expectation (ACE) applied to classification and recommendation problems
(Massachusetts Institute of Technology, 2018)
In this thesis, a geometric framework for describing relevant information in a collection of data is applied for the general problems of selecting informative features (dimension reduction) from high dimensional data. The ...