Identification of More Feasible MicroRNA–mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction-Reference-Cited by-同舟云学术

Identification of More Feasible MicroRNA–mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction

Published:2016-05-10 Issue:5 Volume:17 Page:696
ISSN:1422-0067
Container-title:International Journal of Molecular Sciences
language:en
Short-container-title:IJMS

Author:

Taguchi Y-h.^ORCID

Funder

Chuo University

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Link

http://www.mdpi.com/1422-0067/17/5/696/pdf

Reference48 articles.

1. Regulation of microRNA biogenesis

2. Re‐thinking miRNA‐mRNA interactions: Intertwining issues confound target discovery

3. Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease

4. starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein–RNA interaction networks from large-scale CLIP-Seq data

5. BCL11A overexpression predicts survival and relapse in non-small cell lung cancer and is modulated by microRNA-30a and gene amplification

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