A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions
Reference
A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions
PLOS ONE,DOI:10.1371/journal.pone.0233755,Vol:15,No.7,pages 1-19,2020,Public Library of ScienceAuthors
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
BibTex
@ARTICLE{718,
LANG="EN",
TYPE="article",
AUTHOR=" 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, and Hiroaki Kitano",
TITLE="A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions",
JOURNAL="PLOS ONE",
YEAR="2020",
MONTH="July",
DOI="10.1371/journal.pone.0233755",
PUBLISHER="Public Library of Science",
VOLUME="15",
NUMBER="7",
PAGES="1-19",
URL="https://doi.org/10.1371/journal.pone.0233755"
}