Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predicting miRNA-Disease Association Based on Improved Graph Regression.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Li Lei, Gao Zhen, Zheng Chun-Hou, Qi Rong, Wang Yu-Tian, Ni Jian-Cheng

Abstract excerpt

Recently, as a growing number of associations between microRNAs (miRNAs) and diseases are discovered, researchers gradually realize that miRNAs are closely related to several complicated biological processes and human diseases. Hence, it is especially important to construct availably models to infer associations between miRNAs and diseases. In this study, we presented Improved Graph Regression for miRNA-Disease...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Area Under Curve
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to MicroRNAs

Source

Identifiers

PMID: 34757912
DOI: 10.1109/TCBB.2021.3127017

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting miRNA-Disease Association Based on Improved Graph Regression.PMID 34757912Read ↗

lncRNA-disease association prediction based on optimizing measures of multi-graph regularized matrix factorization.Semantic proximity Read ↗

GIMDA: Graphlet interaction-based MiRNA-disease association prediction.Semantic proximity Read ↗

MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA-Disease Association Prediction.Semantic proximity Read ↗

MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.Semantic proximity Read ↗

Improved low-rank matrix recovery method for predicting miRNA-disease association.Semantic proximity Read ↗

Predicting miRNA-disease associations based on graph attention network with multi-source information.Semantic proximity Read ↗

An improved random forest-based computational model for predicting novel miRNA-disease associations.Semantic proximity Read ↗

Efficient framework for predicting MiRNA-disease associations based on improved hybrid collaborative filtering.Semantic proximity Read ↗

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.Semantic proximity Read ↗

HAMDA: Hybrid Approach for MiRNA-Disease Association prediction.Semantic proximity Read ↗

Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities.Semantic proximity Read ↗

Predicting miRNA-Disease Associations via Combining Probability Matrix Feature Decomposition With Neighbor Learning.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.