A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series g...
A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions
About this item
Full title
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Publisher
San Francisco: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
San Francisco: Public Library of Science
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Scope and Contents
Contents
Systems biology aims at holistically understanding the complexity of biological systems. In particular, nowadays with the broad availability of gene expression measurements, systems biology challenges the deciphering of the genetic cell machinery from them. In order to help researchers, reverse engineer the genetic cell machinery from these noisy d...
Alternative Titles
Full title
A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions
Authors, Artists and Contributors
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Record Identifier
TN_cdi_plos_journals_2420593651
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2420593651
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0233755
