Cargando…
Integrated Analysis of Tissue-Specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases
In the field of gene expression analysis, methods of integrating multiple gene expression profiles are still being developed and the existing methods have scope for improvement. The previously proposed tensor decomposition-based unsupervised feature extraction method was improved by introducing stan...
Autores principales: | Taguchi, Y-H., Turki, Turki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222230/ https://www.ncbi.nlm.nih.gov/pubmed/35741859 http://dx.doi.org/10.3390/genes13061097 |
Ejemplares similares
-
A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching
por: Taguchi, Y-h., et al.
Publicado: (2022) -
Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis
por: Taguchi, Y-h., et al.
Publicado: (2019) -
Adapted tensor decomposition and PCA based unsupervised feature extraction select more biologically reasonable differentially expressed genes than conventional methods
por: Taguchi, Y-h., et al.
Publicado: (2022) -
Tensor-Decomposition-Based Unsupervised Feature Extraction Applied to Prostate Cancer Multiomics Data
por: Taguchi, Y-h., et al.
Publicado: (2020) -
Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis
por: Taguchi, Y-h., et al.
Publicado: (2021)