Cargando…
A Jackknife and Voting Classifier Approach to Feature Selection and Classification
With technological advances now allowing measurement of thousands of genes, proteins and metabolites, researchers are using this information to develop diagnostic and prognostic tests and discern the biological pathways underlying diseases. Often, an investigator’s objective is to develop a classifi...
Autores principales: | Taylor, Sandra L., Kim, Kyoungmi |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091410/ https://www.ncbi.nlm.nih.gov/pubmed/21584263 http://dx.doi.org/10.4137/CIN.S7111 |
Ejemplares similares
-
Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data
por: Baty, Florent, et al.
Publicado: (2005) -
Jackknife-based gene-gene interactiontests for untyped SNPs
por: Song, Minsun
Publicado: (2015) -
Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images
Publicado: (2020) -
Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data
por: Khatun, Rabea, et al.
Publicado: (2023) -
A jackknife-like method for classification and uncertainty assessment of multi-category tumor samples using gene expression information
por: Zhang, Wensheng, et al.
Publicado: (2010)