A novel statistical model for finding patterns in cell-cycle transcription data

Yvonne E. Pittelkow; Susan R. Wilson

doi:10.1016/j.patrec.2009.11.015

A novel statistical model for finding patterns in cell-cycle transcription data

Yvonne E. Pittelkow, Susan R. Wilson

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A new statistical model is developed for finding patterns in gene expression data from time course experiments. Using a recent data set, it is demonstrated how iteratively applying this model simultaneously with visualisation tools gives further, useful information.

Original language	English
Pages (from-to)	2126-2132
Number of pages	7
Journal	Pattern Recognition Letters
Volume	31
Issue number	14
DOIs	https://doi.org/10.1016/j.patrec.2009.11.015
Publication status	Published - 15 Oct 2010

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10.1016/j.patrec.2009.11.015

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title = "A novel statistical model for finding patterns in cell-cycle transcription data",

abstract = "A new statistical model is developed for finding patterns in gene expression data from time course experiments. Using a recent data set, it is demonstrated how iteratively applying this model simultaneously with visualisation tools gives further, useful information.",

keywords = "Absolute sine model, Covariance biplots, Gene expression microarrays, Periodic genes, Time course experiment, h-Profile plots",

author = "Pittelkow, {Yvonne E.} and Wilson, {Susan R.}",

year = "2010",

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day = "15",

doi = "10.1016/j.patrec.2009.11.015",

language = "English",

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T1 - A novel statistical model for finding patterns in cell-cycle transcription data

AU - Pittelkow, Yvonne E.

AU - Wilson, Susan R.

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N2 - A new statistical model is developed for finding patterns in gene expression data from time course experiments. Using a recent data set, it is demonstrated how iteratively applying this model simultaneously with visualisation tools gives further, useful information.

AB - A new statistical model is developed for finding patterns in gene expression data from time course experiments. Using a recent data set, it is demonstrated how iteratively applying this model simultaneously with visualisation tools gives further, useful information.

KW - Absolute sine model

KW - Covariance biplots

KW - Gene expression microarrays

KW - Periodic genes

KW - Time course experiment

KW - h-Profile plots

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U2 - 10.1016/j.patrec.2009.11.015

DO - 10.1016/j.patrec.2009.11.015

M3 - Article

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SP - 2126

EP - 2132

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 14

ER -

A novel statistical model for finding patterns in cell-cycle transcription data

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