Cargando…
A heuristic method for discovering biomarker candidates based on rough set theory
We apply a combined method of heuristic attribute reduction and evaluation of relative reducts in rough set theory to gene expression data analysis. Our method extracts as many relative reducts as possible from the gene-expression data and selects the best relative reduct from the viewpoint of const...
Autores principales: | Kudo, Yasuo, Okada, Yoshifumi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124797/ https://www.ncbi.nlm.nih.gov/pubmed/21738314 |
Ejemplares similares
-
Topics in rough set theory: current applications to granular computing
por: Akama, Seiki, et al.
Publicado: (2019) -
A study of interface roughness of heteromeric obligate and non-obligate protein-protein complexes
por: Bera, Indrani, et al.
Publicado: (2009) -
Identification of differentially expressed gene modules between two-class DNA microarray data
por: Okada, Yoshifumi, et al.
Publicado: (2009) -
Discovering amino acid patterns on binding sites in protein complexes
por: Kuo, Huang-Cheng, et al.
Publicado: (2011) -
A gp63 based vaccine candidate against Visceral Leishmaniasis
por: Sinha, Sukrat, et al.
Publicado: (2011)