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

10.1371/journal.pone.0162293

Saved in:
Bibliographic Details
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:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/161553
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-161553
record_format dspace
spelling sg-nus-scholar.10635-1615532023-10-31T08:33:25Z Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces Zhao H. Wang D.D. Chen L. Liu X. Yan H. SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH 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 Caenorhabditis elegans Cell Cycle Cluster Analysis Data Mining Datasets as Topic Disease Gene Expression Gene Ontology Genes, Fungal Genes, Helminth Humans Molecular Sequence Annotation Saccharomyces cerevisiae 10.1371/journal.pone.0162293 PLoS ONE 11 9 e0162293 2019-11-06T07:46:19Z 2019-11-06T07:46:19Z 2016 Article Zhao H., Wang D.D., Chen L., Liu X., Yan H. (2016). Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces. PLoS ONE 11 (9) : e0162293. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0162293 19326203 https://scholarbank.nus.edu.sg/handle/10635/161553 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic 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
Caenorhabditis elegans
Cell Cycle
Cluster Analysis
Data Mining
Datasets as Topic
Disease
Gene Expression
Gene Ontology
Genes, Fungal
Genes, Helminth
Humans
Molecular Sequence Annotation
Saccharomyces cerevisiae
spellingShingle 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
Caenorhabditis elegans
Cell Cycle
Cluster Analysis
Data Mining
Datasets as Topic
Disease
Gene Expression
Gene Ontology
Genes, Fungal
Genes, Helminth
Humans
Molecular Sequence Annotation
Saccharomyces cerevisiae
Zhao H.
Wang D.D.
Chen L.
Liu X.
Yan H.
Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
description 10.1371/journal.pone.0162293
author2 SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
author_facet SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
Zhao H.
Wang D.D.
Chen L.
Liu X.
Yan H.
format Article
author Zhao H.
Wang D.D.
Chen L.
Liu X.
Yan H.
author_sort Zhao H.
title Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
title_short Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
title_full Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
title_fullStr Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
title_full_unstemmed Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
title_sort identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/161553
_version_ 1781791792540155904