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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Autores principales: | Farzaneh Hamidi, Neda Gilani, Reza Arabi Belaghi, Parvin Sarbakhsh, Tuba Edgünlü, Pasqualina Santaguida |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/415ece1b41d74c6f95c7dc62bd466560 |
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