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Natural cubic spline regression modeling followed by dynamic network reconstruction for the identifi...

Natural cubic spline regression modeling followed by dynamic network reconstruction for the identifi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A460354666

Natural cubic spline regression modeling followed by dynamic network reconstruction for the identification of radiation-sensitivity gene association networks from time-course transcriptome data

About this item

Full title

Natural cubic spline regression modeling followed by dynamic network reconstruction for the identification of radiation-sensitivity gene association networks from time-course transcriptome data

Publisher

Public Library of Science

Journal title

PLoS ONE, 2016, Vol.11 (8), p.e0160791

Language

English

Formats

Publication information

Publisher

Public Library of Science

More information

Alternative Titles

Full title

Natural cubic spline regression modeling followed by dynamic network reconstruction for the identification of radiation-sensitivity gene association networks from time-course transcriptome data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_gale_infotracmisc_A460354666

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_infotracmisc_A460354666

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0160791

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