A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs

A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs

Background: LncRNAs (Long non-coding RNAs) are a type of non-coding RNA molecule with transcript length longer than 200 nucleotides. LncRNA has been novel candidate biomarkers in cancer diagnosis and prognosis. However, it is difficult to discover the true association mechanism between lncRNAs and c...

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Bibliographic Details
Main Authors: Shen, Z. (Author), Sun, T. (Author), Yuan, L. (Author), Zhao, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Association reactions
biology
Cancer
Complex networks
Computational Biology
Diagnosis
Disease associations
Diseases
Forecasting
Gaussian interaction
Gene-disease associations
Genes
genetics
Interaction matrices
LncRNA
long untranslated RNA
machine learning
Machine learning
Machine Learning
Machine learning approaches
Machine learning methods
Machine learning technology
Matrix algebra
Multi-omics data
Neighborhood information
neoplasm
Neoplasms
Neural network
Neural networks
Neural Networks, Computer
Node embedding
RNA
RNA, Long Noncoding
Turing machines
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