WBSMDA: Within and Between Score for MiRNA-Disease Association prediction. - Test2 - elhamkhani - TriplyDB

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

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

http://www.wikidata.org/entity/Q36583369

about

Identification of miRNA-mRNA Modules in Colorectal Cancer Using Rough Hypercuboid Based Supervised Clustering Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patients.MCMDA: Matrix completion for MiRNA-disease association prediction Improved low-rank matrix recovery method for predicting miRNA-disease association.PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.A potential role of microRNAs in protein accumulation in cellular senescence analyzed by bioinformatics.A path-based measurement for human miRNA functional similarities using miRNA-disease associations.A Meta-Path-Based Prediction Method for Human miRNA-Target Association.Prioritizing cancer-related microRNAs by integrating microRNA and mRNA datasets.Network Consistency Projection for Human miRNA-Disease Associations Inference.Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression miRNA and mRNA expression analysis reveals potential sex-biased miRNA expression FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model.A Comprehensive Prescription for Plant miRNA Identification IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction.Systemically identifying and prioritizing risk lncRNAs through integration of pan-cancer phenotype associations.Large-scale prediction of microRNA-disease associations by combinatorial prioritization algorithm.A novel computational model based on super-disease and miRNA for potential miRNA-disease association prediction.RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction.DRMDA: deep representations-based miRNA-disease association prediction.Determining causal miRNAs and their signaling cascade in diseases using an influence diffusion model.Long non-coding RNAs and complex diseases: from experimental results to computational models.A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.Transcriptional Regulation of lncRNA Genes by Histone Modification in Alzheimer's Disease.BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.Investigation of a common gene expression signature in gastrointestinal cancers using systems biology approaches.MicroRNA inhibition fine-tunes and provides robustness to the restriction point switch of the cell cycle.Screening candidate microRNA-mRNA regulatory pairs for predicting the response to chemoradiotherapy in rectal cancer by a bioinformatics approach Identification and Characterization of Small Noncoding RNAs in Genome Sequences of the Edible Fungus Pleurotus ostreatus.Hemoglobin level, a prognostic factor for nasal extranodal natural killer/T-cell lymphoma patients from stage I to IV: A validated prognostic nomogram.A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network.BRWLDA: bi-random walks for predicting lncRNA-disease associations.Computational prediction of human disease-related microRNAs by path-based random walk.A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.A deep ensemble model to predict miRNA-disease association.EPMDA: an expression-profile based computational model for microRNA-disease association prediction.Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs.

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

http://www.wikidata.org/entity/Q36583369

description

2016 nî lūn-bûn

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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name

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

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

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type

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

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

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

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

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Scientific Reports

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

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P2093

Chenggang Clarence Yan

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Lixi Deng

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Qionghai Dai

http://www.w3.org/2001/XMLSchema#string

Xing Chen

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Xu Zhang

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Ying Liu

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Yongdong Zhang

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P2860

Global cancer statistics

miRBase: microRNA sequences, targets and gene nomenclature

A microRNA expression signature of human solid tumors defines cancer gene targets

MicroRNAs: target recognition and regulatory functions

miRBase: integrating microRNA annotation and deep-sequencing data

Characterization of global microRNA expression reveals oncogenic potential of miR-145 in metastatic colorectal cancer

A pleiotropically acting microRNA, miR-31, inhibits breast cancer metastasis

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

The noncoding RNA, miR-126, suppresses the growth of neoplastic cells by targeting phosphatidylinositol 3-kinase signaling and is frequently lost in colon cancers

Antisense inhibition of human miRNAs and indications for an involvement of miRNA in cell growth and apoptosis

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10.1038/SREP21106

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6

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2016-02-16T00:00:00Z

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295101477

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1044585455

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26880032

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4754743

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