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

Prediction of miRNA-disease associations by neural network-based deep matrix factorization.

Methods (San Diego, Calif.) - 1 Apr 2023

Qu Qiang, Chen Xia, Ning Bin, Zhang Xiang, Nie Hao, Zeng Li, Chen Haowen, Fu Xiangzheng

Abstract excerpt

MicroRNA(miRNA) is a class of short non-coding RNAs with a length of about 22 nucleotides, which participates in various biological processes of cells. A number of studies have shown that miRNAs are closely related to the occurrence of cancer and various human diseases. Therefore, studying miRNA-disease associations is helpful to understand the pathogenesis of diseases as well as the prevention, diagnosis,...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computational Biology
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Lung Neoplasms

Share to MicroRNAs

Share to Neural Networks, Computer

Source

Identifiers

PMID: 36813017
DOI: 10.1016/j.ymeth.2023.02.003

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Prediction of miRNA-disease associations by neural network-based deep matrix factorization.PMID 36813017Read ↗

Prediction of miRNA-Disease Association Using Deep Collaborative Filtering.Semantic proximity Read ↗

Hessian Regularized [Formula: see text]-Nonnegative Matrix Factorization and Deep Learning for miRNA-Disease Associations Prediction.Semantic proximity Read ↗

Prediction of Potential MicroRNA-Disease Association Using Kernelized Bayesian Matrix Factorization.Semantic proximity Read ↗

Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations.Semantic proximity Read ↗

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

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

DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations.Semantic proximity Read ↗

MicroRNA-disease association prediction by matrix tri-factorization.Semantic proximity Read ↗

MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations.Semantic proximity Read ↗

Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoder.Semantic proximity Read ↗

A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.Semantic proximity Read ↗

SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning.Semantic proximity Read ↗

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