A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions.

A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions.

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 engi...

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Bibliographic Details
Main Authors: Richard Nock, Natalia Polouliakh, Frank Nielsen, Keigo Oka, Carlin R Connell, Cedric Heimhofer, Kazuhiro Shibanai, Samik Ghosh, Ken-Ichi Aisaki, Satoshi Kitajima, Jun Kanno, Taketo Akama, Hiroaki Kitano
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0233755

Internet

https://doi.org/10.1371/journal.pone.0233755

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