MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph

Graph regularized L2,1-nonnegative matrix factorization for miRNA-disease association prediction

(2020) Zhen Gao et al.   BMC BIOINFORMATICS

Three-Layer Heterogeneous Network Combined With Unbalanced Random Walk for miRNA-Disease Association Prediction

(2020) Limin Yu et al.   Frontiers in Genetics

A Computational Study of Potential miRNA-Disease Association Inference Based on Ensemble Learning and Kernel Ridge Regression

(2020) Li-Hong Peng et al.   Frontiers in Bioengineering and Biotechnology

Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions

(2020) Hailin Chen et al.   BMC BIOINFORMATICS

Identifying drug–target interactions based on graph convolutional network and deep neural network

(2020) Tianyi Zhao et al.   BRIEFINGS IN BIOINFORMATICS

Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression

(2020) Su Zhou et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks

(2020) Xiaoyong Pan et al.   PATTERN RECOGNITION

Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model

(2020) Bo-Ya Ji et al.   Scientific Reports

MSFSP: A Novel miRNA–Disease Association Prediction Model by Federating Multiple-Similarities Fusion and Space Projection

(2020) Yi Zhang et al.   Frontiers in Genetics

MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association

(2020) Qingwen Wu et al.   Frontiers in Genetics

BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction

(2020) Xianyou Zhu et al.   Frontiers in Genetics

Improved Prediction of miRNA-Disease Associations Based on Matrix Completion with Network Regularization

(2020) Jihwan Ha et al.   Cells

RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network

(2020) Duc-Hau Le et al.   BMC BIOINFORMATICS

Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations

(2020) Feng Huang et al.   BRIEFINGS IN BIOINFORMATICS

Data fusion-based algorithm for predicting miRNA–Disease associations

(2020) Chunyu Wang et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks

(2020) Jiashu Li et al.   MOLECULAR GENETICS AND GENOMICS

A systematic study of critical miRNAs on cells proliferation and apoptosis by the shortest path

(2020) Peng Xu et al.   BMC BIOINFORMATICS

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations

(2020) Tian-Ru Wu et al.   BMC BIOINFORMATICS

Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model

(2020) Lei Zhang et al.   BMC BIOINFORMATICS

A graph auto-encoder model for miRNA-disease associations prediction

(2020) Zhengwei Li et al.   BRIEFINGS IN BIOINFORMATICS

Deep-belief network for predicting potential miRNA-disease associations

(2020) Xing Chen et al.   BRIEFINGS IN BIOINFORMATICS

A neural collaborative filtering method for identifying miRNA-disease associations

(2020) Yue Liu et al.   NEUROCOMPUTING

Seq-SymRF: a random forest model predicts potential miRNA-disease associations based on information of sequences and clinical symptoms

(2020) Jinlong Li et al.   Scientific Reports

QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion

(2020) Lin Wang et al.   Frontiers in Genetics

Heterogeneous Graph Convolutional Networks and Matrix Completion for miRNA-Disease Association Prediction

(2020) Rongxiang Zhu et al.   Frontiers in Bioengineering and Biotechnology

Identification of human microRNA-disease association via hypergraph embedded bipartite local model

(2020) Yijie Ding et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

PmDNE: Prediction of miRNA-Disease Association Based on Network Embedding and Network Similarity Analysis

(2020) Junyi Li et al.   Biomed Research International

Prediction of Potential Associations Between miRNAs and Diseases Based on Matrix Decomposition

(2020) Pengcheng Sun et al.   Frontiers in Genetics

Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions

(2020) Chang Sun et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy

(2019) Chun-Chun Wang et al.   RNA Biology

Predicting MiRNA-Disease Association by Latent Feature Extraction with Positive Samples

(2019) Kai Che et al.   Genes

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

Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs

(2019) Qiu Xiao et al.   KNOWLEDGE-BASED SYSTEMS

PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach

(2019) Jihwan Ha et al.   BMC Systems Biology

Integrating random walk and binary regression to identify novel miRNA-disease association

(2019) Ya-Wei Niu et al.   BMC BIOINFORMATICS

A learning-based framework for miRNA-disease association identification using neural networks

(2019) Jiajie Peng et al.   BIOINFORMATICS

Adaptive boosting-based computational model for predicting potential miRNA-disease associations

(2019) Yan Zhao et al.   BIOINFORMATICS

FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs

(2019) Xiaoying Li et al.   BMC Systems Biology

MAMDA: Inferring microRNA-Disease associations with manifold alignment

(2019) Fang Yan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorization

(2019) Xing Chen et al.   GENOMICS

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs

(2019) Cheng Liang et al.   PLoS Computational Biology

Bipartite Heterogeneous Network Method Based on Co-neighbor for MiRNA-Disease Association Prediction

(2019) Min Chen et al.   Frontiers in Genetics

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

(2019) Ying-Lian Gao et al.   BMC BIOINFORMATICS

Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks

(2019) Xuan et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Ensemble of decision tree reveals potential miRNA-disease associations

(2019) Xing Chen et al.   PLoS Computational Biology

Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks

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

A network embedding-based multiple information integration method for the MiRNA-disease association prediction

(2019) Yuchong Gong et al.   BMC BIOINFORMATICS

Predicting Drug–Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation

(2019) Jaechang Lim et al.   Journal of Chemical Information and Modeling

WBNPMD: weighted bipartite network projection for microRNA-disease association prediction

(2019) Guobo Xie et al.   Journal of Translational Medicine

Prediction of potential miRNA-disease associations using matrix decomposition and label propagation

(2019) Jia Qu et al.   KNOWLEDGE-BASED SYSTEMS

Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges

(2019) Xuan et al.   MOLECULES

Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information

(2019) Xuan et al.   Genes

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

(2019) Zhenxia Pan et al.   Molecular Therapy-Nucleic Acids

Prediction of Potential miRNA–Disease Associations Through a Novel Unsupervised Deep Learning Framework with Variational Autoencoder

(2019) Li Zhang et al.   Cells

A Novel Computational Model for Predicting microRNA–Disease Associations Based on Heterogeneous Graph Convolutional Networks

(2019) Li et al.   Cells

IMPMD: an integrated method for predicting potential associations between miRNAs and diseases

(2019) Meiqi Wu et al.   CURRENT GENOMICS

In silico prediction of potential miRNA‐disease association using an integrative bioinformatics approach based on kernel fusion

(2019) Na‐Na Guan et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

Predicting Disease Related microRNA Based on Similarity and Topology

(2019) Zhihua Chen et al.   Cells

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

(2019) Jin Li et al.   BIOINFORMATICS

An improved random forest-based computational model for predicting novel miRNA-disease associations

(2019) Dengju Yao et al.   BMC BIOINFORMATICS

RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations

(2019) Zhen Cui et al.   BMC BIOINFORMATICS

NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion

(2019) Xing Chen et al.   BRIEFINGS IN BIOINFORMATICS

IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization

(2019) Jihwan Ha et al.   JOURNAL OF BIOMEDICAL INFORMATICS

DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease Associations

(2019) Kai Zheng et al.   Molecular Therapy-Nucleic Acids

A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations

(2019) Wen Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

Identifying cancer-related microRNAs based on subpathways

(2018) Wenbin Liu et al.   IET Systems Biology

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity

(2018) Guanghui Li et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Human disease MiRNA inference by combining target information based on heterogeneous manifolds

(2018) Pingjian Ding et al.   JOURNAL OF BIOMEDICAL INFORMATICS

NDAMDA: Network distance analysis for MiRNA-disease association prediction

(2018) Xing Chen et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

SNMDA: A novel method for predicting microRNA-disease associations based on sparse neighbourhood

(2018) Yu Qu et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

HNMDA: heterogeneous network-based miRNA–disease association prediction

(2018) Li-Hong Peng et al.   MOLECULAR GENETICS AND GENOMICS

Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks

(2018) Jiawei Luo et al.   NEUROCOMPUTING

SACMDA: MiRNA-Disease Association Prediction with Short Acyclic Connections in Heterogeneous Graph

(2018) Biyao Shao et al.   NEUROINFORMATICS

Predict MiRNA-Disease Association with Collaborative Filtering

(2018) Yatong Jiang et al.   NEUROINFORMATICS

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

(2018) Lixin Chen et al.   PATTERN RECOGNITION LETTERS

EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction

(2018) Xing Chen et al.   Cell Death & Disease

Global Similarity Method Based on a Two-tier Random Walk for the Prediction of microRNA–Disease Association

(2018) Min Chen et al.   Scientific Reports

GRMDA: Graph Regression for MiRNA-Disease Association Prediction

(2018) Xing Chen et al.   Frontiers in Physiology

TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction

(2018) Xing Chen et al.   Frontiers in Genetics

Predicting microRNA-disease associations using bipartite local models and hubness-aware regression

(2018) Xing Chen et al.   RNA Biology

Prediction of potential disease-associated microRNAs by composite network based inference

(2018) Bin-Sheng He et al.   Scientific Reports

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

(2018) Xing Chen et al.   PLoS Computational Biology

A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square

(2018) Yan Zhao et al.   Frontiers in Genetics

Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization

(2018) Bin-Sheng He et al.   Frontiers in Genetics

FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association

(2018) Limin Jiang et al.   BMC GENOMICS

FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases

(2018) Yiwen Sun et al.   BMC Systems Biology

A Novel Approach Based on a Weighted Interactive Network to Predict Associations of MiRNAs and Diseases

(2018) Haochen Zhao et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

MCLPMDA: A novel method for miRNA-disease association prediction based on matrix completion and label propagation

(2018) Sheng-Peng Yu et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

HMDD v3.0: a database for experimentally supported human microRNA–disease associations

(2018) Zhou Huang et al.   NUCLEIC ACIDS RESEARCH

Novel Human miRNA-Disease Association Inference Based on Random Forest

(2018) Xing Chen et al.   Molecular Therapy-Nucleic Acids

LLCMDA: A Novel Method for Predicting miRNA Gene and Disease Relationship Based on Locality-Constrained Linear Coding

(2018) Yu Qu et al.   Frontiers in Genetics

MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association

(2018) Limin Jiang et al.   Frontiers in Genetics

A Framework for Integrating Multiple Biological Networks to Predict MicroRNA-Disease Associations

(2017) Wei Peng et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

Evaluation of Graph Sampling: A Visualization Perspective

(2017) Yanhong Wu et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning

(2017) Jiawei Luo et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

DNRLMF-MDA:Predicting microRNA-disease associations based on similarities of microRNAs and diseases

(2017) Cheng Yan et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Meta-path methods for prioritizing candidate disease miRNAs

(2017) Xuan Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources

(2017) Yuansheng Liu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

HAMDA: Hybrid Approach for MiRNA-Disease Association prediction

(2017) Xing Chen et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network

(2017) Jiawei Luo et al.   JOURNAL OF BIOMEDICAL INFORMATICS

GIMDA: Graphlet interaction-based MiRNA-disease association prediction

(2017) Xing Chen et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

DRMDA: deep representations-based miRNA-disease association prediction

(2017) Xing Chen et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA–disease association prediction

(2017) Xing Chen et al.   Journal of Translational Medicine

A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks

(2017) Wei Peng et al.   METHODS

A novel method for identifying potential disease-related miRNAs via a disease–miRNA–target heterogeneous network

(2017) Liang Ding et al.   Molecular BioSystems

NARRMDA: negative-aware and rating-based recommendation algorithm for miRNA–disease association prediction

(2017) Lihong Peng et al.   Molecular BioSystems

A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction

(2017) Xing Chen et al.   Molecular BioSystems

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

(2017) Xing Chen et al.   RNA Biology

EPMDA: an expression-profile based computational model for microRNA-disease association prediction

(2017) Yu-An Huang et al.   Oncotarget

PRMDA: personalized recommendation-based MiRNA-disease association prediction

(2017) Zhu-Hong You et al.   Oncotarget

SSCMDA: spy and super cluster strategy for MiRNA-disease association prediction

(2017) Qi Zhao et al.   Oncotarget

MCMDA: Matrix completion for MiRNA-disease association prediction

(2017) Jian-Qiang Li et al.   Oncotarget

A network similarity integration method for predicting microRNA-disease associations

(2017) Xiaoying Li et al.   RSC Advances

Improved low-rank matrix recovery method for predicting miRNA-disease association

(2017) Li Peng et al.   Scientific Reports

Large-scale prediction of microRNA-disease associations by combinatorial prioritization algorithm

(2017) Hua Yu et al.   Scientific Reports

LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction

(2017) Xing Chen et al.   PLoS Computational Biology

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction

(2017) Zhu-Hong You et al.   PLoS Computational Biology

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data

(2017) Jiawei Luo et al.   IEEE Access

CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods

(2017) Li Zhang et al.   Scientific Reports

Prediction of miRNA-disease Associations using an Evolutionary Tuned Latent Semantic Analysis

(2017) Denis Pallez et al.   Scientific Reports

A deep ensemble model to predict miRNA-disease association

(2017) Laiyi Fu et al.   Scientific Reports

Identifying Disease Associated miRNAs Based on Protein Domains

(2016) Gui-Min Qin et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

NTSMDA: prediction of miRNA–disease associations by integrating network topological similarity

(2016) Dongdong Sun et al.   Molecular BioSystems

HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

(2016) Xing Chen et al.   Oncotarget

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

(2016) Xing Chen et al.   Scientific Reports

Prediction of miRNA-disease associations with a vector space model

(2016) Claude Pasquier et al.   Scientific Reports

A path-based measurement for human miRNA functional similarities using miRNA-disease associations

(2016) Pingjian Ding et al.   Scientific Reports

Network Consistency Projection for Human miRNA-Disease Associations Inference

(2016) Changlong Gu et al.   Scientific Reports

Prediction of potential disease-associated microRNAs based on random walk

(2015) Ping Xuan et al.   BIOINFORMATICS

microRNAs in breast cancer: regulatory roles governing the hallmarks of cancer

(2015) Jen N. Goh et al.   BIOLOGICAL REVIEWS

Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks

(2015) Xiangxiang Zeng et al.   BRIEFINGS IN BIOINFORMATICS

Network-based ranking methods for prediction of novel disease associated microRNAs

(2015) Duc-Hau Le   COMPUTATIONAL BIOLOGY AND CHEMISTRY

The impact of comorbidity upon determinants of outcome in patients with lung cancer

(2015) Derek Grose et al.   LUNG CANCER

Enrichment Analysis Identifies Functional MicroRNA-Disease Associations in Humans

(2015) Dandan Yuan et al.   PLoS One

RBMMMDA: predicting multiple types of disease-microRNA associations

(2015) Xing Chen et al.   Scientific Reports

Identifying human microRNA–disease associations by a new diffusion-based method

(2015) Bo Liao et al.   Journal of Bioinformatics and Computational Biology

Identifying cancer-related microRNAs based on gene expression data

(2014) Xing-Ming Zhao et al.   BIOINFORMATICS

A Discussion of MicroRNAs in Cancers

(2014) Shi Hua et al.   Current Bioinformatics

Prediction of disease-related microRNAs by incorporating functional similarity and common association information

(2014) K. Han et al.   GENETICS AND MOLECULAR RESEARCH

Prioritizing candidate disease miRNAs by integrating phenotype associations of multiple diseases with matched miRNA and mRNA expression profiles

(2014) Chaohan Xu et al.   Molecular BioSystems

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

Using context-specific effect of miRNAs to identify functional associations between miRNAs and gene signatures

(2013) Mohammed Alshalalfa et al.   BMC BIOINFORMATICS

Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes

(2013) Hongbo Shi et al.   BMC Systems Biology

MiR-138 Inhibits Tumor Growth Through Repression of EZH2 in Non-Small Cell Lung Cancer

(2013) Huijun Zhang et al.   CELLULAR PHYSIOLOGY AND BIOCHEMISTRY

Predicting human microRNA-disease associations based on support vector machine

(2013) Qinghua Jiang et al.   International Journal of Data Mining and Bioinformatics

HIV-1 Tat C Modulates Expression of miRNA-101 to Suppress VE-Cadherin in Human Brain Microvascular Endothelial Cells

(2013) R. Mishra et al.   JOURNAL OF NEUROSCIENCE

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

Circulating miRNAs as Surrogate Markers for Circulating Tumor Cells and Prognostic Markers in Metastatic Breast Cancer

(2012) D. Madhavan et al.   CLINICAL CANCER RESEARCH

Downregulation of HMGA2 by the pan-deacetylase inhibitor panobinostat is dependent on hsa-let-7b expression in liver cancer cell lines

(2012) Pietro Di Fazio et al.   EXPERIMENTAL CELL RESEARCH

miR-137 inhibits the proliferation of lung cancer cells by targeting Cdc42 and Cdk6

(2012) Xiaolan Zhu et al.   FEBS LETTERS

miR-107: a Toll-like receptor-regulated miRNA dysregulated in obesity and type II diabetes

(2012) N. H. Foley et al.   JOURNAL OF LEUKOCYTE BIOLOGY

Biological and prognostic associations of miR-205 and let-7b in breast cancer revealed by in situ hybridization analysis of micro-RNA expression in arrays of archival tumour tissue

(2012) John Le Quesne et al.   JOURNAL OF PATHOLOGY

RWRMDA: predicting novel human microRNA–disease associations

(2012) Xing Chen et al.   Molecular BioSystems

MicroRNA-1 and microRNA-499 downregulate the expression of the ets1 proto-oncogene in HepG2 cells

(2012) WEI WEI et al.   ONCOLOGY REPORTS

Tumour suppressors miR-1 and miR-133a target the oncogenic function of purine nucleoside phosphorylase (PNP) in prostate cancer

(2011) S Kojima et al.   BRITISH JOURNAL OF CANCER

Genome-wide Profiling of Chromatin Signatures Reveals Epigenetic Regulation of MicroRNA Genes in Colorectal Cancer

(2011) H. Suzuki et al.   CANCER RESEARCH

MiR-1 Downregulation Cooperates with MACC1 in Promoting MET Overexpression in Human Colon Cancer

(2011) C. Migliore et al.   CLINICAL CANCER RESEARCH

Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA Target-Dysregulated Network: Case Study of Prostate Cancer

(2011) J. Xu et al.   MOLECULAR CANCER THERAPEUTICS

Unknown

(2011) Walter Pavicic et al.   MOLECULAR MEDICINE

Pervasive roles of microRNAs in cardiovascular biology

(2011) Eric M. Small et al.   NATURE

MiR-145 inhibits cell proliferation of human lung adenocarcinoma by targeting EGFR and NUDT1

(2011) William CS Cho et al.   RNA Biology

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

Thelet-7microRNA reduces tumor growth in mouse models of lung cancer

(2010) Aurora Esquela-Kerscher et al.   CELL CYCLE

Proinflammatory Role forlet-7MicroRNAS in Experimental Asthma

(2010) Sumanth Polikepahad et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

Association of MicroRNA Expression with Microsatellite Instability Status in Colorectal Adenocarcinoma

(2010) Jonathan S.L. Earle et al.   JOURNAL OF MOLECULAR DIAGNOSTICS

Network medicine: a network-based approach to human disease

(2010) Albert-László Barabási et al.   NATURE REVIEWS GENETICS

MicroRNAs: Target Recognition and Regulatory Functions

(2009) David P. Bartel   CELL

The roles of microRNA in cancer and apoptosis

(2008) Niamh Lynam-Lennon et al.   BIOLOGICAL REVIEWS

Truncation in CCND1 mRNA alters miR-16-1 regulation in mantle cell lymphoma

(2008) R. W. Chen et al.   BLOOD

Role of microRNAs in vascular diseases, inflammation, and angiogenesis

(2008) C. Urbich et al.   CARDIOVASCULAR RESEARCH

Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases

(2008) Xi Chen et al.   CELL RESEARCH

MicroRNA-221/222 Confers Tamoxifen Resistance in Breast Cancer by Targeting p27Kip1

(2008) Tyler E. Miller et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

miR2Disease: a manually curated database for microRNA deregulation in human disease

(2008) Q. Jiang et al.   NUCLEIC ACIDS RESEARCH

Integrin β3 expression is regulated by let-7a miRNA in malignant melanoma

(2008) D W Müller et al.   ONCOGENE