Are we overestimating the number of cell-cycling genes? The impact of background models on time-series analysis
Author(s) -
Matthias E. Futschik,
Hanspeter Herzel
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn072
Subject(s) - cycling , series (stratigraphy) , computer science , time series , biology , machine learning , geography , paleontology , archaeology
Periodic processes play fundamental roles in organisms. Prominent examples are the cell cycle and the circadian clock. Microarray array technology has enabled us to screen complete sets of transcripts for possible association with such fundamental periodic processes on a system-wide level. Frequently, quite large numbers of genes have been detected as periodically expressed. However, the small overlap between genes identified in different studies has cast some doubts on the reliability of the periodic expression detected.
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