Titlebook: Unsupervised Feature Extraction Applied to Bioinformatics; A PCA Based and TD B Y-h. Taguchi Book 2024Latest edition The Editor(s) (if appl

漸變

TD-Based Unsupervised FEultaneously associated with the same samples. If we consider case I and case II tensor approaches, we can perform integrated analysis of multi omics data sets, too. In addition to this, we further introduce additional strategies to integrate multiple omics data sets suitable for more than two profiles.

Collision

Tensor Decompositionizations of TD: sum of outer product of vectors, product summation of (smaller) tensor and matrices, and product summation of (smaller) tensors. These three methods have their own unique pros and cons. In addition to the algorithm to perform each of TDs, we will also discuss about these pros and cons of three methods introduced.

圣歌