Cargando…
k-Nearest neighbor models for microarray gene expression analysis and clinical outcome prediction
In the clinical application of genomic data analysis and modeling, a number of factors contribute to the performance of disease classification and clinical outcome prediction. This study focuses on the k-nearest neighbor (KNN) modeling strategy and its clinical use. Although KNN is simple and clinic...
Autores principales: | Parry, R M, Jones, W, Stokes, T H, Phan, J H, Moffitt, R A, Fang, H, Shi, L, Oberthuer, A, Fischer, M, Tong, W, Wang, M D |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2920072/ https://www.ncbi.nlm.nih.gov/pubmed/20676068 http://dx.doi.org/10.1038/tpj.2010.56 |
Ejemplares similares
-
Gravity-Matching Algorithm Based on K-Nearest Neighbor
por: Gao, Shuaipeng, et al.
Publicado: (2022) -
Probing hybridization parameters from microarray experiments: nearest-neighbor model and beyond
por: Hadiwikarta, W. W., et al.
Publicado: (2012) -
The effects of mismatches on hybridization in DNA microarrays: determination of nearest neighbor parameters
por: Hooyberghs, J., et al.
Publicado: (2009) -
Compressed kNN: K-Nearest Neighbors with Data Compression
por: Salvador–Meneses, Jaime, et al.
Publicado: (2019) -
The k conditional nearest neighbor algorithm for classification and class probability estimation
por: Gweon, Hyukjun, et al.
Publicado: (2019)