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...

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Bibliographic Details
Main Authors: Kapur, Arnav, Marwah, Kshitij, Alterovitz, Gil
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: BioMed Central 2016
Online Access:http://hdl.handle.net/1721.1/104048
https://orcid.org/0000-0002-5952-9844

Internet

http://hdl.handle.net/1721.1/104048
https://orcid.org/0000-0002-5952-9844

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