| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/ZhongXWZLLZ18 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTX546 |
| P8608 | Fatcat ID | release_kf3zsebvrrhjndta5bmf7qsboe |
| P932 | PMC publication ID | 5860200 |
| P698 | PubMed publication ID | 28968753 |
| P2093 | author name string | Yong Liu | |
| Yingli Zhong | |||
| Weixiong Zhang | |||
| Xiao Wang | |||
| Jianzhong Li | |||
| Ping Xuan | |||
| Tiangang Zhang | |||
| P2860 | cites work | Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders | Q24558589 |
| MicroRNAs: target recognition and regulatory functions | Q24609584 | ||
| miR2Disease: a manually curated database for microRNA deregulation in human disease | Q24655615 | ||
| The human disease network | Q24678240 | ||
| Prediction of mammalian microRNA targets | Q27860498 | ||
| MicroRNAs: small RNAs with a big role in gene regulation | Q27860896 | ||
| MicroRNAs: genomics, biogenesis, mechanism, and function | Q27861070 | ||
| Active turnover modulates mature microRNA activity in Caenorhabditis elegans | Q28257700 | ||
| Semi-supervised learning for potential human microRNA-disease associations inference | Q28656510 | ||
| The role of site accessibility in microRNA target recognition | Q29547436 | ||
| Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources | Q31076734 | ||
| An analysis of human microRNA and disease associations | Q33377048 | ||
| Prioritization of disease microRNAs through a human phenome-microRNAome network | Q33593578 | ||
| Development of the human cancer microRNA network | Q33717233 | ||
| dbDEMC: a database of differentially expressed miRNAs in human cancers. | Q33766768 | ||
| Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes | Q34014258 | ||
| Prediction of microRNAs associated with human diseases based on weighted k most similar neighbors | Q34946579 | ||
| A systematic in silico mining of the mechanistic implications and therapeutic potentials of estrogen receptor (ER)-α in breast cancer | Q35116627 | ||
| Prioritizing human cancer microRNAs based on genes' functional consistency between microRNA and cancer. | Q35617255 | ||
| MicroRNA-cancer connection: the beginning of a new tale | Q36555283 | ||
| The neuronal microRNA system | Q36657801 | ||
| miR-449a and miR-449b are direct transcriptional targets of E2F1 and negatively regulate pRb-E2F1 activity through a feedback loop by targeting CDK6 and CDC25A. | Q37393628 | ||
| microRNAs and genetic diseases | Q37424316 | ||
| Identifying miRNAs, targets and functions. | Q37497803 | ||
| HMDD v2.0: a database for experimentally supported human microRNA and disease associations | Q37661769 | ||
| MicroRNAs in development and disease | Q37899669 | ||
| Analysis of the human diseasome using phenotype similarity between common, genetic, and infectious diseases | Q38410296 | ||
| PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes | Q39855856 | ||
| Inductive matrix completion for predicting gene-disease associations | Q40749411 | ||
| Prediction of potential disease-associated microRNAs based on random walk | Q41530606 | ||
| RWRMDA: predicting novel human microRNA-disease associations | Q47287584 | ||
| Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases | Q48064982 | ||
| miRCancer: a microRNA-cancer association database constructed by text mining on literature. | Q51276224 | ||
| Prediction of associations between OMIM diseases and microRNAs by random walk on OMIM disease similarity network. | Q51457597 | ||
| Predicting microRNA targets and functions: traps for the unwary. | Q51826221 | ||
| [Orphanet: a European database for rare diseases] | Q63367921 | ||
| P407 | language of work or name | English | Q1860 |
| P577 | publication date | 2017-09-01 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network |
| Q64084852 | Bipartite Heterogeneous Network Method Based on Co-neighbor for MiRNA-Disease Association Prediction |
| Q94517819 | Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions |
| Q60949449 | Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs |
| Q89763259 | Graph regularized L2,1-nonnegative matrix factorization for miRNA-disease association prediction |
| Q92210643 | Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks |
| Q64093540 | Long Noncoding RNA and Protein Interactions: From Experimental Results to Computational Models Based on Network Methods |
| Q58704945 | MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction |
| Q94464437 | MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association |
| Q89993792 | Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information |
| Q92906831 | Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting Edges |
| Q90297877 | TLHNMDA: Triple Layer Heterogeneous Network Based Inference for MiRNA-Disease Association Prediction |
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