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。Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoder
Wei Liu et al.
BRIEFINGS IN BIOINFORMATICS (2022)
Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares
Wengang Wang et al.
BRIEFINGS IN BIOINFORMATICS (2022)
An ensemble learning framework for potential miRNA-disease association prediction with positive-unlabeled data
Yao Wu et al.
COMPUTATIONAL BIOLOGY AND CHEMISTRY (2021)
SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
Dayun Liu et al.
BMC BIOINFORMATICS (2021)
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier
Rong Zhu et al.
BMC BIOINFORMATICS (2021)
Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction
Xinru Tang et al.
BRIEFINGS IN BIOINFORMATICS (2021)
Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions
Hailin Chen et al.
BMC BIOINFORMATICS (2020)
Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression
Su Zhou et al.
COMPUTATIONAL BIOLOGY AND CHEMISTRY (2020)
Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model
Bo-Ya Ji et al.
SCIENTIFIC REPORTS (2020)
MSFSP: A Novel miRNA-Disease Association Prediction Model by Federating Multiple-Similarities Fusion and Space Projection
Yi Zhang et al.
FRONTIERS IN GENETICS (2020)
Data fusion-based algorithm for predicting miRNA - Disease associations
Chunyu Wang et al.
COMPUTATIONAL BIOLOGY AND CHEMISTRY (2020)
A learning-based framework for miRNA-disease association identification using neural networks
Jiajie Peng et al.
BIOINFORMATICS (2019)
Adaptive boosting-based computational model for predicting potential miRNA-disease associations
Yan Zhao et al.
BIOINFORMATICS (2019)
Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information
Ping Xuan et al.
GENES (2019)
An improved random forest-based computational model for predicting novel miRNA-disease associations
Dengju Yao et al.
BMC BIOINFORMATICS (2019)
HMDD v3.0: a database for experimentally supported human microRNA-disease associations
Zhou Huang et al.
NUCLEIC ACIDS RESEARCH (2019)
miRBase: from microRNA sequences to function
Ana Kozomara et al.
NUCLEIC ACIDS RESEARCH (2019)
Identifying MiRNA-disease association based on integrating miRNA topological similarity and functional similarity
Qingfeng Chen et al.
QUANTITATIVE BIOLOGY (2019)
BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction
Xing Chen et al.
BIOINFORMATICS (2018)
Predicting miRNA-disease association based on inductive matrix completion
Xing Chen et al.
BIOINFORMATICS (2018)
EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction
Xing Chen et al.
CELL DEATH & DISEASE (2018)
Novel Human miRNA-Disease Association Inference Based on Random Forest
Xing Chen et al.
MOLECULAR THERAPY-NUCLEIC ACIDS (2018)
dbDEMC 2.0: updated database of differentially expressed miRNAs in human cancers
Zhen Yang et al.
NUCLEIC ACIDS RESEARCH (2017)
HAMDA: Hybrid Approach for MiRNA-Disease Association prediction
Xing Chen et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2017)
Semi-supervised k-means plus
Jordan Yoder et al.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (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)
Prediction of potential disease-associated microRNAs based on random walk
Ping Xuan et al.
BIOINFORMATICS (2015)
Prediction of disease-related microRNAs by incorporating functional similarity and common association information
K. Han et al.
GENETICS AND MOLECULAR RESEARCH (2014)
HMDD v2.0: a database for experimentally supported human microRNA and disease associations
Yang Li et al.
NUCLEIC ACIDS RESEARCH (2014)
Similarity-based methods for potential human microRNA-disease association prediction
Hailin Chen et al.
BMC MEDICAL GENOMICS (2013)
PREDICT: a method for inferring novel drug indications with application to personalized medicine
Assaf Gottlieb et al.
MOLECULAR SYSTEMS BIOLOGY (2011)
Non-coding RNAs in human disease
Manel Esteller
NATURE REVIEWS GENETICS (2011)
Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
Dong Wang et al.
BIOINFORMATICS (2010)
Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
Yoshihiro Yamanishi et al.
BIOINFORMATICS (2008)
An Analysis of Human MicroRNA and Disease Associations
Ming Lu et al.
PLOS ONE (2008)
Bipartite network projection and personal recommendation
Tao Zhou et al.
PHYSICAL REVIEW E (2007)
MicroRNA expression and function in cancer
Ramiro Garzon et al.
TRENDS IN MOLECULAR MEDICINE (2006)
The diverse functions of MicroRNAs in animal development and disease
Wigard P. Kloosterman et al.
DEVELOPMENTAL CELL (2006)