Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces

• Main Authors: Zhao H., Wang D.D., Chen L., Liu X., Yan H.
• Other Authors: SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
• Format: Article
• Published: 2019
• Subjects: decomposition; embryo cell; experimental model; gene expression; gene ontology; nonhuman; reliability; yeast; algorithm; animal; Caenorhabditis elegans; cell cycle; cluster analysis; data mining; diseases; fungal gene; gene; genetics; growth, development and aging; human; information processing; molecular genetics; Saccharomyces cerevisiae; statistics and numerical data; Algorithms; Animals; Cell Cycle; Cluster Analysis; Data Mining; Datasets as Topic; Disease; Gene Expression; Gene Ontology; Genes, Fungal; Genes, Helminth; Humans; Molecular Sequence Annotation
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/161553
• Institution: National University of Singapore

10.1371/journal.pone.0162293