Exploration of Potential miRNA Biomarkers and Prediction for Ovarian Cancer Using Artificial Intelligence

Ovarian cancer is the second most dangerous gynecologic cancer with a high mortality rate. The classification of gene expression data from high-dimensional and small-sample gene expression data is a challenging task. The discovery of miRNAs, a small non-coding RNA with 18–25 nucleotides in length th...

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Detalles Bibliográficos
Autores principales: Hamidi, Farzaneh, Gilani, Neda, Belaghi, Reza Arabi, Sarbakhsh, Parvin, Edgünlü, Tuba, Santaguida, Pasqualina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656459/
https://www.ncbi.nlm.nih.gov/pubmed/34899827
http://dx.doi.org/10.3389/fgene.2021.724785

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656459/
https://www.ncbi.nlm.nih.gov/pubmed/34899827
http://dx.doi.org/10.3389/fgene.2021.724785

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