LiDiAimc: LincRNA-disease associations through inductive matrix completion

The dysregulations of long intergenic non-coding RNAs (lincRNAs) have shown to be linked with a wide variety of human diseases over the past few years. However, there are only a few lincRNA-disease association inference tools available with most of them relying on very specific type of prior knowled...

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Bibliographic Details

Published in:	2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp. 158 - 163
Main Authors:	Biswas, Ashis, Jean Gao
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2017
Subjects:	Association inference Bioinformatics Diseases Inductive Matrix Completion Long intergenic non-coding RNA OMIM disease phenotypes Predictive models Principal component analysis RNA
Online Access:	Get full text
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