Prediction and validation of association between microRNAs and diseases by multipath methods
- 1 November 2016
- journal article
- Published by Elsevier in Biochimica et Biophysica Acta (BBA) - General Subjects
- Vol. 1860 (11) , 2735-2739
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61202011, 61272152, 61320106005, 91530320)
- Ministry of Education of the People's Republic of China (20120121120039)
This publication has 14 references indexed in Scilit:
- Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network AnalysesPLOS ONE, 2013
- Prioritizing candidate disease genes by network-based boosting of genome-wide association dataGenome Research, 2011
- miRBase: integrating microRNA annotation and deep-sequencing dataNucleic Acids Research, 2010
- Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseasesBioinformatics, 2010
- miR2Disease: a manually curated database for microRNA deregulation in human diseaseNucleic Acids Research, 2009
- An Analysis of Human MicroRNA and Disease AssociationsPLOS ONE, 2008
- Oncomirs — microRNAs with a role in cancerNature Reviews Cancer, 2006
- A text-mining analysis of the human phenomeEuropean Journal of Human Genetics, 2006
- Mechanisms of gene silencing by double-stranded RNANature, 2004
- The functions of animal microRNAsNature, 2004