RNA, Competitive Endogenous - AI Medical Compendium

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Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks.

Journal of chemical information and modeling Jun 12, 2025

Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs' roles in complex diseases, providing a theoretical basis for disease mechanisms. Existing ceRNA-disease association prediction methods ar...

Humans Machine Learning Neoplasms Gene Regulatory Networks Computational Biology Autoencoder RNA, Competitive Endogenous

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Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network.

International journal of molecular sciences Apr 11, 2024

Clear-cell renal-cell carcinoma (ccRCC) is a silent-development pathology with a high rate of metastasis in patients. The activity of coding genes in metastatic progression is well known. New studies evaluate the association with non-coding genes, su...

Humans Machine Learning Biomarkers, Tumor Gene Expression Profiling Transcriptome Gene Regulatory Networks Gene Expression Regulation, Neoplastic MicroRNAs Neoplasm Metastasis Kidney Neoplasms Carcinoma, Renal Cell RNA, Competitive Endogenous

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Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University Aug 1, 2024

BACKGROUND: Aberrant circular RNA (circRNA) acts as an oncogene or suppressor during neoplasm initiation and development. However, the functions of most circRNAs in osteosarcoma (OS) remain unclear.

Humans Machine Learning Prognosis Biomarkers, Tumor Gene Regulatory Networks Computational Biology RNA, Messenger Gene Expression Regulation, Neoplastic Osteosarcoma Bone Neoplasms MicroRNAs Chemokine CXCL12 ATP-Binding Cassette Transporters RNA, Circular Protective Factors RNA, Competitive Endogenous

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AIMC Topic: RNA, Competitive Endogenous

Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks.

Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network.

Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma.

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AIMC Topic: RNA, Competitive Endogenous

Noise-Consistent Hypergraph Autoencoder Based on Contrastive Learning for Cancer ceRNA Association Prediction in Complex Biological Regulatory Networks.

Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network.

Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma.

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