Cargando…
Gene selection for cancer classification with the help of bees
BACKGROUND: Development of biologically relevant models from gene expression data notably, microarray data has become a topic of great interest in the field of bioinformatics and clinical genetics and oncology. Only a small number of gene expression data compared to the total number of genes explore...
Autores principales: | Moosa, Johra Muhammad, Shakur, Rameen, Kaykobad, Mohammad, Rahman, Mohammad Sohel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980787/ https://www.ncbi.nlm.nih.gov/pubmed/27510562 http://dx.doi.org/10.1186/s12920-016-0204-7 |
Ejemplares similares
-
New Sufficient Conditions for Hamiltonian Paths
por: Rahman, M. Sohel, et al.
Publicado: (2014) -
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
por: Cai, Zhipeng, et al.
Publicado: (2007) -
Engineered drug delivery devices to address Global Health challenges
por: Sadeghi, Ilin, et al.
Publicado: (2021) -
NoVaTeST: identifying genes with location-dependent noise variance in spatial transcriptomics data
por: Abrar, Mohammed Abid, et al.
Publicado: (2023) -
A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection
por: Sana, Joydeb Kumar, et al.
Publicado: (2022)