Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces
10.1371/journal.pone.0162293
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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 |
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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 |
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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 |
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10.1371/journal.pone.0162293 |
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SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH |
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SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Zhao H. Wang D.D. Chen L. Liu X. Yan H. |
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Article |
author |
Zhao H. Wang D.D. Chen L. Liu X. Yan H. |
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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 |
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2019 |
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https://scholarbank.nus.edu.sg/handle/10635/161553 |
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1781791792540155904 |