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