Stable solution to l 2,1-based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases

Stable solution to l 2,1-based robust inductive matrix completion and its application in linking long noncoding RNAs to human diseases

Abstract Backgrounds A large number of long intergenic non-coding RNAs (lincRNAs) are linked to a broad spectrum of human diseases. The disease association with many other lincRNAs still remain as puzzle. Validation of such links between the two entities through biological experiments are expensive....

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Bibliographic Details
Main Authors: Ashis Kumer Biswas, Dongchul Kim, Mingon Kang, Chris Ding, Jean X. Gao
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Medical Genomics
Subjects:
Matrix completion
Inductive learning
Long noncoding RNA
Human disease phenotypes
Association inference
Online Access:http://link.springer.com/article/10.1186/s12920-017-0310-1

Internet

http://link.springer.com/article/10.1186/s12920-017-0310-1

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