Ontology highlight
ABSTRACT:
SUBMITTER: Li G
PROVIDER: S-EPMC7297185 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Computational statistics & data analysis 20200504
Biclustering is an important exploratory analysis tool that simultaneously clusters rows (e.g., samples) and columns (e.g., variables) of a data matrix. Checkerboard-like biclusters reveal intrinsic associations between rows and columns. However, most existing methods rely on Gaussian assumptions and only apply to matrix data. In practice, non-Gaussian and/or multi-way tensor data are frequently encountered. A new CO-clustering method via Regularized Alternating Least Squares (CORALS) is propose ...[more]