Cargando…
Using machine learning approach for screening metastatic biomarkers in colorectal cancer and predictive modeling with experimental validation
Colorectal cancer (CRC) liver metastasis accounts for the majority of fatalities associated with CRC. Early detection of metastasis is crucial for improving patient outcomes but can be delayed due to a lack of symptoms. In this research, we aimed to investigate CRC metastasis-related biomarkers by e...
Autores principales: | Ahmadieh-Yazdi, Amirhossein, Mahdavinezhad, Ali, Tapak, Leili, Nouri, Fatemeh, Taherkhani, Amir, Afshar, Saeid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632378/ https://www.ncbi.nlm.nih.gov/pubmed/37940644 http://dx.doi.org/10.1038/s41598-023-46633-8 |
Ejemplares similares
-
Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson's Diseases and Improving the Disease Classification Using Support Vector Machine
por: Moradi, Shadi, et al.
Publicado: (2022) -
Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model
por: Tapak, Leili, et al.
Publicado: (2021) -
Identification of Prognostic Biomarkers for Breast Cancer Metastasis
Using Penalized Additive Hazards Regression Model
por: Tapak, Leili, et al.
Publicado: (2023) -
Introducing novel key genes and transcription factors associated with rectal cancer response to chemoradiation through co-expression network analysis
por: Afshar, Saeid, et al.
Publicado: (2023) -
Psoriasis Associated Hub Genes Revealed by Weighted Gene
Co-Expression Network Analysis
por: Darvish, Zeinab, et al.
Publicado: (2023)