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

Frontiers in Genetics - Switzerland
doi 10.3389/fgene.2018.00618
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Frontiers Media SA

Related search

Identifying MiRNA-disease Association Based on Integrating miRNA Topological Similarity and Functional Similarity

Quantitative Biology
GeneticsMolecular BiologyBiochemistryApplied MathematicsSimulationComputer Science ApplicationsModeling
2019English

In Silico Prediction of Potential miRNA‐disease Association Using an Integrative Bioinformatics Approach Based on Kernel Fusion

Journal of Cellular and Molecular Medicine
Molecular MedicineCell Biology
2020English

MiRNA-disease Interaction Prediction Based on Kernel Neighborhood Similarity and Multi-Network Bidirectional Propagation

BMC Medical Genomics
Genetics
2019English

RKNNMDA: Ranking-Based KNN for MiRNA-Disease Association Prediction

RNA Biology
Cell BiologyMolecular Biology
2017English

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

Cell Death and Disease
Molecular NeuroscienceImmunologyCell BiologyCancer ResearchCellularMedicine
2018English

Graph Regularized L2,1-Nonnegative Matrix Factorization for miRNA-disease Association Prediction

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2020English

Discovering Joint Associations Between Disease and Gene Pairs With a Novel Similarity Test

BMC Genetics
Genetics
2010English

Association Tests Using Kernel-Based Measures of Multi-Locus Genotype Similarity Between Individuals

Genetic Epidemiology
EpidemiologyGenetics
2009English

Predicting Virus-Host Association by Kernelized Logistic Matrix Factorization and Similarity Network Fusion

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy