A heterogeneous label propagation approach to explore the potential associations between miRNA and disease

Background Research on microRNAs (miRNAs) has attracted increasingly worldwide attention over recent years as growing experimental results have made clear that miRNA correlates with masses of critical biological processes and the occurrence, development, and diagnosis of human complex diseases. None...

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Bibliographic Details
Published in:	Journal of translational medicine Vol. 16; no. 1; pp. 348 - 14
Main Authors:	Chen, Xing, Zhang, De-Hong, You, Zhu-Hong
Format:	Journal Article
Language:	English
Published:	London BioMed Central 11.12.2018 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Bioinformatics Biomedical and Life Sciences Biomedicine Breast cancer Chemotherapy Computational Biology - methods Computer applications Disease Drug resistance Esophageal cancer Esophagus Gene expression Genetic Association Studies Genetic disorders Genetic Predisposition to Disease Genomes Genomics Humans Label propagation Lung cancer Lymphoma Medical bioinformatics Medical prognosis Medical research Medicine/Public Health Methods MicroRNA MicroRNAs MicroRNAs - genetics MicroRNAs - metabolism miRNA miRNA-disease association Multi-network Neoplasms - genetics Non-coding RNA Propagation Proteins Reproducibility of Results Research methodology Risk factors Signal transduction Similarity measures Tumors miRNA Multi-network miRNA-disease association Disease Label propagation
ISSN:	1479-5876, 1479-5876
Online Access:	Get full text
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