Cargando…
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning
Cancer is one of the leading causes of death worldwide and can be caused by environmental aspects (for example, exposure to asbestos), by human behavior (such as smoking), or by genetic factors. To understand which genes might be involved in patients’ survival, researchers have invented prognostic g...
Autores principales: | Chicco, Davide, Alameer, Abbas, Rahmati, Sara, Jurman, Giuseppe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632055/ https://www.ncbi.nlm.nih.gov/pubmed/36329531 http://dx.doi.org/10.1186/s13040-022-00312-y |
Ejemplares similares
-
The ABC recommendations for validation of supervised machine learning results in biomedical sciences
por: Chicco, Davide, et al.
Publicado: (2022) -
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
por: Chicco, Davide, et al.
Publicado: (2020) -
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma
por: Chicco, Davide, et al.
Publicado: (2023) -
Survival prediction of patients with sepsis from age, sex, and septic episode number alone
por: Chicco, Davide, et al.
Publicado: (2020) -
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
por: Chicco, Davide, et al.
Publicado: (2020)