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

IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.

Oncotarget - 6 Sept 2016

Chen Xing, You Zhu-Hong, Yan Gui-Ying, Gong Dun-Wei

Abstract excerpt

In recent years, accumulating evidences have shown that the dysregulations of lncRNAs are associated with a wide range of human diseases. It is necessary and feasible to analyze known lncRNA-disease associations, predict potential lncRNA-disease associations, and provide the most possible lncRNA-disease pairs for experimental validation. Considering the limitations of traditional Random Walk with Restart (RWR),...

Read the complete abstract on PubMed

Topics

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

Share to Area Under Curve
Share to Colonic Neoplasms
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Leukemia

Share to Models, Statistical

Share to Normal Distribution

Share to Probability

Share to RNA, Long Noncoding

Source

Open in PubMed Open full text

Identifiers

PMID: 27517318
DOI: 10.18632/oncotarget.11141
PMCID: PMC5295400

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

IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.PMID 27517318Read ↗

A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.Semantic proximity Read ↗

Predicting miRNA-disease associations using improved random walk with restart and integrating multiple similarities.Semantic proximity Read ↗

MHRWR: Prediction of lncRNA-Disease Associations Based on Multiple Heterogeneous Networks.Semantic proximity Read ↗

Prioritizing candidate disease-related long non-coding RNAs by walking on the heterogeneous lncRNA and disease network.Semantic proximity Read ↗

Global Similarity Method Based on a Two-tier Random Walk for the Prediction of microRNA-Disease Association.Semantic proximity Read ↗

Integrating random walk with restart and k-Nearest Neighbor to identify novel circRNA-disease association.Semantic proximity Read ↗

Integrating random walk and binary regression to identify novel miRNA-disease associationSemantic proximity Read ↗

HAUBRW: Hybrid algorithm and unbalanced bi-random walk for predicting lncRNA-disease associations.Semantic proximity Read ↗

A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method.Semantic proximity Read ↗

Heterogeneous network model to infer human disease-long intergenic non-coding RNA associations.Semantic proximity Read ↗

RWSF-BLP: a novel lncRNA-disease association prediction model using random walk-based multi-similarity fusion and bidirectional label propagation.Semantic proximity Read ↗

AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network.Semantic proximity Read ↗

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