Cargando…
Screening of key genes related to ferroptosis and a molecular interaction network analysis in colorectal cancer using machine learning and bioinformatics
BACKGROUND: This study sought to identify the key genes and molecular interactions related to ferroptosis in colorectal cancer (CRC) using machine-learning and bioinformatics analyses. METHODS: The Gene Expression Omnibus (National Institutes of Health, US) datasets for CRC were downloaded from the...
Autores principales: | Xue, Fengfu, Jiang, Jingwen, Kou, Jiguang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331738/ https://www.ncbi.nlm.nih.gov/pubmed/37435214 http://dx.doi.org/10.21037/jgo-23-405 |
Ejemplares similares
-
Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms
por: Zhu, Ya xi, et al.
Publicado: (2021) -
Integrative bioinformatics analysis to screen key genes and signalling pathways related to ferroptosis in obesity
por: Li, Ming-Ke, et al.
Publicado: (2023) -
Screening of ferroptosis-related genes with prognostic effect in colorectal cancer by bioinformatic analysis
por: Hu, Dongzhi, et al.
Publicado: (2022) -
Identification of key ferroptosis genes in diabetic retinopathy based on bioinformatics analysis
por: Huang, Yan, et al.
Publicado: (2023) -
Identification of key immune genes of osteoporosis based on bioinformatics and machine learning
por: Hao, Song, et al.
Publicado: (2023)