Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach

Identification of novel diagnostic and prognostic microRNAs in sarcoma on TCGA dataset: bioinformatics and machine learning approach

Abstract The discovery of unique microRNA (miR) patterns and their corresponding genes in sarcoma patients indicates their involvement in cancer development and suggests their potential use in medical management. MiRs were identified from The Cancer Genome Atlas (TCGA) dataset, with a Deep Neural Ne...

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Bibliographic Details
Main Authors: Rahem Rahmati, Fatemeh Zarimeidani, Farnaz Ahmadi, Hannaneh Yousefi-Koma, Abdolreza Mohammadnia, Maryam Hajimoradi, Shadi Shafaghi, Elham Nazari
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Biomarker
Cancer
Noncoding RNA
Prognosis
Online Access:https://doi.org/10.1038/s41598-025-91007-x
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