Gene expression prediction using low-rank matrix completion

Gene expression prediction using low-rank matrix completion

Background An exponential growth of high-throughput biological information and data has occurred in the past decade, supported by technologies, such as microarrays and RNA-Seq. Most data generated using such methods are used to encode large amounts of rich information, and determine diagnostic and p...

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Bibliographic Details
Main Authors:	Kapur, Arnav (Author), Marwah, Kshitij (Author), Alterovitz, Gil (Contributor)
Other Authors:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format:	Article
Language:	English
Published:	BioMed Central, 2016-08-26T18:57:23Z.
Subjects:	Article
Online Access:	Get fulltext

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