相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Predicting miRNA-disease associations based on graph random propagation network and attention network
Tangbo Zhong et al.
BRIEFINGS IN BIOINFORMATICS (2022)
A graph auto-encoder model for miRNA-disease associations prediction
Zhengwei Li et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Combined embedding model for MiRNA-disease association prediction
Bailong Liu et al.
BMC BIOINFORMATICS (2021)
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph
Yanyi Chu et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction
Xinru Tang et al.
BRIEFINGS IN BIOINFORMATICS (2021)
MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information
Qiuying Dai et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
DANE-MDA: Predicting microRNA-disease associations via deep attributed network embedding
Bo-Ya Ji et al.
ISCIENCE (2021)
MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association
Kai Zheng et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
Jin Li et al.
BIOINFORMATICS (2020)
Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model
Lei Zhang et al.
BMC BIOINFORMATICS (2020)
Heterogeneous Graph Convolutional Networks and Matrix Completion for miRNA-Disease Association Prediction
Rongxiang Zhu et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)
MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation
Yingjun Ma et al.
BMC MEDICAL GENOMICS (2019)
dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers
Zhen Yang et al.
NUCLEIC ACIDS RESEARCH (2017)
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
Zhu-Hong You et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
WBSMDA: Within and Between Score for MiRNA-Disease Association prediction
Xing Chen et al.
SCIENTIFIC REPORTS (2016)
HMDD v2.0: a database for experimentally supported human microRNA and disease associations
Yang Li et al.
NUCLEIC ACIDS RESEARCH (2014)
miR-129-2 suppresses proliferation and migration of esophageal carcinoma cells through downregulation of SOX4 expression
Min Kang et al.
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE (2013)
MiR-144 and MiR-451 Regulate Human Erythropoiesis By Targeting RAB14
MinJung Kim et al.
BLOOD (2013)
Gaussian interaction profile kernels for predicting drug-target interaction
Twan van Laarhoven et al.
BIOINFORMATICS (2011)
Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
Dong Wang et al.
BIOINFORMATICS (2010)
Prioritization of disease microRNAs through a human phenome-microRNAome network
Qinghua Jiang et al.
BMC SYSTEMS BIOLOGY (2010)
OncomiR addiction in an in vivo model of microRNA-21-induced pre-B-cell lymphoma
Pedro P. Medina et al.
NATURE (2010)
miR2Disease: a manually curated database for microRNA deregulation in human disease
Qinghua Jiang et al.
NUCLEIC ACIDS RESEARCH (2009)
MicroRNA detection by northern blotting using locked nucleic acid probes
Eva Varallyay et al.
NATURE PROTOCOLS (2008)
An Analysis of Human MicroRNA and Disease Associations
Ming Lu et al.
PLOS ONE (2008)
Emerging role of MicroRNAs in cardiovascular biology
Michael V. G. Latronico et al.
CIRCULATION RESEARCH (2007)
How microRNAs control cell division, differentiation and death
EA Miska
CURRENT OPINION IN GENETICS & DEVELOPMENT (2005)
Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes
S Baskerville et al.
RNA (2005)
Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers
GA Calin et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)
MicroRNAs: Genomics, biogenesis, mechanism, and function
DP Bartel
CELL (2004)
MicroRNAs and the regulation of cell death
PZ Xu et al.
TRENDS IN GENETICS (2004)
分享论文
