Cargando…
Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools
Identifying differentially expressed genes is difficult because of the small number of available samples compared with the large number of genes. Conventional gene selection methods employing statistical tests have the critical problem of heavy dependence of P-values on sample size. Although the rec...
Autores principales: | Taguchi, Y-h., Turki, Turki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521941/ https://www.ncbi.nlm.nih.gov/pubmed/36173994 http://dx.doi.org/10.1371/journal.pone.0275472 |
Ejemplares similares
-
Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
por: Taguchi, Y-h., et al.
Publicado: (2022) -
Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis
por: Taguchi, Y-h., et al.
Publicado: (2021) -
Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis
por: Taguchi, Y-h., et al.
Publicado: (2019) -
Tensor-Decomposition-Based Unsupervised Feature Extraction Applied to Prostate Cancer Multiomics Data
por: Taguchi, Y-h., et al.
Publicado: (2020) -
Effects of Collagen–Glycosaminoglycan Mesh on Gene Expression as Determined by Using Principal Component Analysis-Based Unsupervised Feature Extraction
por: Taguchi, Y-h., et al.
Publicado: (2021)