Cargando…
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
BACKGROUND: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. However, there are still gaps toward whole-genome functional annotation of genes using the gene expression data. RESULTS...
Autores principales: | Li, Xiao-Li, Tan, Yin-Chet, Ng, See-Kiong |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1780124/ https://www.ncbi.nlm.nih.gov/pubmed/17217516 http://dx.doi.org/10.1186/1471-2105-7-S4-S23 |
Ejemplares similares
-
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
por: Huttenhower, Curtis, et al.
Publicado: (2007) -
Fuzzy K-Nearest Neighbor Based Dental Fluorosis Classification Using Multi-Prototype Unsupervised Possibilistic Fuzzy Clustering via Cuckoo Search Algorithm
por: Wongkhuenkaew, Ritipong, et al.
Publicado: (2023) -
DTI-SNNFRA: Drug-target interaction prediction by shared nearest neighbors and fuzzy-rough approximation
por: Islam, Sk Mazharul, et al.
Publicado: (2021) -
Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease
por: Alyousef, Awad A., et al.
Publicado: (2018) -
Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods
Publicado: (2021)