Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms

Colorectal cancer affects the colon or rectum and is a common global health issue, with 1.1 million new cases occurring yearly. The study aimed to identify gene signatures for the early detection of CRC using machine learning (ML) algorithms utilizing gene expression data. The TCGA-CRC and GSE50760...

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Detalles Bibliográficos
Autores principales: Maurya, Neha Shree, Kushwaha, Sandeep, Vetukuri, Ramesh Raju, Mani, Ashutosh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606805/
https://www.ncbi.nlm.nih.gov/pubmed/37895185
http://dx.doi.org/10.3390/genes14101836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606805/
https://www.ncbi.nlm.nih.gov/pubmed/37895185
http://dx.doi.org/10.3390/genes14101836

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