A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

A random forest based computational model for predicting novel lncRNA-disease associations

(2020) Dengju Yao et al.   BMC BIOINFORMATICS

Adaptive multi-source multi-view latent feature learning for inferring potential disease-associated miRNAs

(2020) Qiu Xiao et al.   BRIEFINGS IN BIOINFORMATICS

Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA–disease association prediction

(2020) Nan Sheng et al.   BRIEFINGS IN BIOINFORMATICS

Inferring LncRNA-disease Associations Based On Graph Autoencoder Matrix Completion

(2020) Ximin Wu et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Integration analysis of long non-coding RNA (lncRNA) role in tumorigenesis of colon adenocarcinoma

(2020) Arash Poursheikhani et al.   BMC Medical Genomics

Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion

(2020) Chengqian Lu et al.   IEEE Journal of Biomedical and Health Informatics

Deep-belief network for predicting potential miRNA-disease associations

(2020) Xing Chen et al.   BRIEFINGS IN BIOINFORMATICS

LncRNA-UCA1 modulates progression of colon cancer through regulating the miR-28-5p/HOXB3 axis

(2019) Mingfu Cui et al.   JOURNAL OF CELLULAR BIOCHEMISTRY

Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA Genes

(2019) Ping Xuan et al.   Frontiers in Genetics

CCAT1 promotes triple-negative breast cancer progression by suppressing miR-218/ZFX signaling

(2019) Chunyong Han et al.   Aging-US

Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations

(2019) Xuan et al.   Cells

An Efficient Approach based on Multi-sources Information to Predict CircRNA-disease Associations Using Deep Convoltional Neural Network

(2019) Lei Wang et al.   BIOINFORMATICS

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

(2019) Jin Li et al.   BIOINFORMATICS

SKF-LDA: Similarity Kernel Fusion for Predicting lncRNA-Disease Association

(2019) Guobo Xie et al.   Molecular Therapy-Nucleic Acids

Prediction of lncRNA–disease associations based on inductive matrix completion

(2018) Chengqian Lu et al.   BIOINFORMATICS

TPGLDA: Novel prediction of associations between lncRNAs and diseases via lncRNA-disease-gene tripartite graph

(2018) Liang Ding et al.   Scientific Reports

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Human Disease Ontology 2018 update: classification, content and workflow expansion

(2018) Lynn M Schriml et al.   NUCLEIC ACIDS RESEARCH

Long Noncoding RNA Plasmacytoma Variant Translocation 1 (PVT1) Promotes Colon Cancer Progression via Endogenous Sponging miR-26b

(2018) Rui Zhang et al.   MEDICAL SCIENCE MONITOR

Crosstalk between the vitamin D receptor (VDR) and miR-214 in regulating SuFu, a hedgehog pathway inhibitor in breast cancer cells

(2016) Fatouma Alimirah et al.   EXPERIMENTAL CELL RESEARCH

DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants

(2016) Janet Piñero et al.   NUCLEIC ACIDS RESEARCH

LncRNA PANDAR regulates the G1/S transition of breast cancer cells by suppressing p16INK4A expression

(2016) Yi Sang et al.   Scientific Reports

Computational approaches towards understanding human long non-coding RNA biology

(2015) Saakshi Jalali et al.   BIOINFORMATICS

Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity

(2015) Xing Chen et al.   Scientific Reports

Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics

(2015) Ehsaneddin Asgari et al.   PLoS One

Inductive matrix completion for predicting gene-disease associations

(2014) N. Natarajan et al.   BIOINFORMATICS

Novel human lncRNA–disease association inference based on lncRNA expression profiles

(2013) Xing Chen et al.   BIOINFORMATICS

Downregulated long noncoding RNA MEG3 is associated with poor prognosis and promotes cell proliferation in gastric cancer

(2013) Ming Sun et al.   TUMOR BIOLOGY

LncRNADisease: a database for long-non-coding RNA-associated diseases

(2012) Geng Chen et al.   NUCLEIC ACIDS RESEARCH

Long noncoding RNAs and human disease

(2011) Orly Wapinski et al.   TRENDS IN CELL BIOLOGY

Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

(2010) Z.-H. You et al.   BIOINFORMATICS

Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces

(2010) Zheng Xia et al.   BMC Systems Biology

Exact Matrix Completion via Convex Optimization

(2009) Emmanuel J. Candès et al.   FOUNDATIONS OF COMPUTATIONAL MATHEMATICS

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Linear Neighborhood Propagation and Its Applications

(2008) Jingdong Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Expression of a noncoding RNA is elevated in Alzheimer's disease and drives rapid feed-forward regulation of β-secretase

(2008) Mohammad Ali Faghihi et al.   NATURE MEDICINE

Label Propagation through Linear Neighborhoods

(2007) Fei Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING