Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities

10.1109/TCBB.2014.2361348

10.1038/nrm3884

10.1038/nrgastro.2013.149

10.1109/TST.2015.7297749

10.1038/sj.onc.1209283

10.1371/journal.pone.0003420

10.1101/gr.071852.107

10.7554/eLife.01977

hood, 2004, Systems biology and new technologies enable predictive and preventative medicine, Science, 306, 640, 10.1126/science.1104635

10.1371/journal.pone.0080707

10.2174/138920371506140818112552

10.1093/bib/bbv033

10.1371/journal.pone.0099415

10.1093/nar/gkt376

10.1109/TCBB.2013.5

10.1093/nar/gku672

10.1038/cr.2009.18

10.7326/0003-4819-158-8-201304160-00005

10.1109/TPAMI.2014.2313125

10.1021/ci500152b

10.1038/cddis.2014.389

10.1186/s12864-015-1899-0

10.1128/MCB.00611-14

10.1093/neuonc/nou220

kibbe, 2015, Disease ontology 2015 update: An expanded and updated database of human diseases for linking biomedical knowledge through disease data, Nucleic Acids Res, 43, 1071d, 10.1093/nar/gku1011

10.1186/s12935-015-0266-1

10.1371/journal.pone.0075504

10.1155/2013/451248

10.1371/journal.pone.0109973

10.1093/bioinformatics/btq241

10.1042/BSR20150167

10.1182/blood-2011-11-394874

zhu, 2014, miR-181b modulates multidrug resistance by targeting BCL2 in human cancer cell lines, Int J Cancer, 14

10.1038/nature02871

10.1093/nar/gkv1221

10.1186/1755-8794-6-12

chen, 2014, Semi-supervised learning for potential human microRNA-disease associations inference, Sci Rep, 4

10.1093/bioinformatics/btt677

10.1155/2015/810514

10.1038/srep13877

10.1101/gr.118992.110

10.1016/j.compbiolchem.2015.07.003

10.1186/s12943-015-0301-9

10.1158/0008-5472.CAN-11-0608

10.1261/rna.1034808

10.1038/srep03151

10.1101/gad.1819009

10.1186/1471-2407-14-200

10.1016/j.biopha.2015.07.037

10.1186/s12943-015-0443-9

10.1186/bcr2257

10.1186/1471-2407-14-739

10.1093/bioinformatics/btu155

yang, 2010, dbDEMC: A database of differentially expressed miRNAs in human cancers, BMC Genomics, 11, 10.1186/1471-2164-11-S4-S5

10.1126/scisignal.2005866

li, 2014, HMDD v2.0: A database for experimentally supported human microRNA and disease associations, Nucleic Acids Res, 42, 1070d, 10.1093/nar/gkt1023

jiang, 2009, miR2Disease: A manually curated database for microRNA deregulation in human disease, Nucleic Acids Res, 37, 98d, 10.1093/nar/gkn714

zou, 2016, Similarity computation strategies in the microRNA-disease network: A survey, Brief Funct Genomics, 15, 55

10.1093/bioinformatics/btw228

10.1155/2014/386561

10.1109/TCBB.2015.2394314

10.3892/ol.2013.1521

10.1093/bioinformatics/btv039

jiang, 2010, Prioritization of disease microRNAs through a human phenome-microRNAome network, BMC Syst Biol, 4, 10.1186/1752-0509-4-S1-S2

10.1371/annotation/28592478-72f5-4937-919b-b2342d6ceda0

li, 2014, Computational prediction of microRNA networks incorporating environmental toxicity and disease etiology, Sci Rep, 4

10.2174/1574893611666160125220905

10.1038/nrc1997

10.1038/nrm3838

10.1186/1755-8794-8-S3-S2

10.1016/0092-8674(93)90529-Y

10.1186/1471-2407-13-469

10.1002/path.4324

kozomara, 2014, MiRBase: Annotating high confidence microRNAs using deep sequencing data, Nucleic Acids Res, 42, 68d, 10.1093/nar/gkt1181

10.1158/0008-5472.CAN-14-1188

10.2174/2211536604666141216214140

10.18632/oncotarget.717

10.1007/s10549-011-1604-1

10.1016/j.bbadis.2013.08.011

10.1016/j.cmet.2010.09.002

10.1186/bcr3415

sun, 2014, Screening miRNAs related to different subtypes of breast cancer with miRNAs microarray, Eur Rev Med Pharmacol Sci, 18, 2783