MLMDA: a machine learning approach to predict and validate MicroRNA–disease associations by integrating of heterogenous information sources

A High Efficient Biological Language Model for Predicting Protein–Protein Interactions

(2019) Yanbin Wang et al.   Cells

An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation

(2019) Zhan-Heng Chen et al.   Frontiers in Genetics

LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities

(2019) Lei Wang et al.   PLoS Computational Biology

BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information

(2019) Zhao-Hui Zhan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform

(2019) Zhan-Heng Chen et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks

(2019) Xiangxiang Zeng et al.   Molecular Therapy-Nucleic Acids

Prediction of potential disease-associated microRNAs using structural perturbation method

(2018) Xiangxiang Zeng et al.   BIOINFORMATICS

MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA–disease association

(2018) Yang Yang et al.   BIOINFORMATICS

BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction

(2018) Xing Chen et al.   BIOINFORMATICS

Adenoid cystic carcinomas of the salivary gland, lacrimal gland, and breast are morphologically and genetically similar but have distinct microRNA expression profiles

(2018) Simon Andreasen et al.   MODERN PATHOLOGY

DPFMDA: Distributed and privatized framework for miRNA-Disease association prediction

(2018) Lixin Chen et al.   PATTERN RECOGNITION LETTERS

A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information

(2018) Hai-Cheng Yi et al.   Molecular Therapy-Nucleic Acids

MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction

(2018) Xing Chen et al.   PLoS Computational Biology

Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information

(2018) Zhao-Hui Zhan et al.   Frontiers in Genetics

Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions

(2018) Lei Wang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences

(2017) Yanbin Wang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction

(2017) Xing Chen et al.   RNA Biology

Highly Efficient Framework for Predicting Interactions Between Proteins

(2017) Zhu-Hong You et al.   IEEE Transactions on Cybernetics

WBSMDA: Within and Between Score for MiRNA-Disease Association prediction

(2016) Xing Chen et al.   Scientific Reports

Prediction of potential disease-associated microRNAs based on random walk

(2015) Ping Xuan et al.   BIOINFORMATICS

Role of Circulating miRNAs as Biomarkers in Idiopathic Pulmonary Arterial Hypertension: Possible Relevance of miR-23a

(2015) Irene Sarrion et al.   Oxidative Medicine and Cellular Longevity

Sparse auto-encoder based feature learning for human body detection in depth image

(2015) Song-Zhi Su et al.   SIGNAL PROCESSING

Has-mir-146a rs2910164 polymorphism and risk of immune thrombocytopenia

(2014) Haifeng Zhao et al.   AUTOIMMUNITY

Precision therapy for lymphoma—current state and future directions

(2014) Andrew M. Intlekofer et al.   Nature Reviews Clinical Oncology

Semi-supervised learning for potential human microRNA-disease associations inference

(2014) Xing Chen et al.   Scientific Reports

Protein-driven inference of miRNA-disease associations

(2013) S. Mork et al.   BIOINFORMATICS

HMDD v2.0: a database for experimentally supported human microRNA and disease associations

(2013) Yang Li et al.   NUCLEIC ACIDS RESEARCH

Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors

(2013) Ping Xuan et al.   PLoS One

Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

CpG island methylation status of miRNAs in esophageal squamous cell carcinoma

(2011) Xuedan Chen et al.   INTERNATIONAL JOURNAL OF CANCER

Non-coding RNAs in human disease

(2011) Manel Esteller   NATURE REVIEWS GENETICS

Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases

(2010) Dong Wang et al.   BIOINFORMATICS

dbDEMC: a database of differentially expressed miRNAs in human cancers

(2010) Zhen Yang et al.   BMC GENOMICS

Prioritization of disease microRNAs through a human phenome-microRNAome network

(2010) Qinghua Jiang et al.   BMC Systems Biology

Gene expression profiling in whole blood of patients with coronary artery disease

(2010) Chiara Taurino et al.   CLINICAL SCIENCE

Cepred: Predicting the Co-Expression Patterns of the Human Intronic microRNAs with Their Host Genes

(2009) Dong Wang et al.   PLoS One

Semantic Similarity in Biomedical Ontologies

(2009) Catia Pesquita et al.   PLoS Computational Biology

An Analysis of Human MicroRNA and Disease Associations

(2008) Ming Lu et al.   PLoS One