Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs
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Title
Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 19, Issue 12, Pages 3732
Publisher
MDPI AG
Online
2018-11-24
DOI
10.3390/ijms19123732
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- (2017) Jian-Qiang Li et al. Oncotarget
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- (2015) Quan Zou et al. Briefings in Functional Genomics
- miRCancer: a microRNA-cancer association database constructed by text mining on literature
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- HMDD v2.0: a database for experimentally supported human microRNA and disease associations
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- (2010) Andreas Ruepp et al. GENOME BIOLOGY
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