Time Course Analysis
Background
Treating time as a continuous variable allows for the
development of specialized algorithm to analyze gene expression data over
time. This is a special case of
analyzing microarray gene expression data.
Analysis
Simbiot provides a choice of two sophisticated time course
analysis algorithms for Affymetrix and Illumina cDNA microarray data. Both functions are published Bioconductor (Gentleman, Carey et al.
2004) libraries:
Timecourse (Tai and Speed 2009) and maSigPro (Conesa, Nueda et al.
2006).
Free demo accounts are available at http://www.simbiot.net.
Please also see more information about Simbiot Single User
Accounts and Private Server installations as well as a brief introduction to microarray analysis.
References
Conesa, A., M. J. Nueda, et al. (2006).
"maSigPro: a method to identify significantly differential expression
profiles in time-course microarray experiments." Bioinformatics 22(9): 1096-102.
Gentleman, R. C.,
V. J. Carey, et al. (2004). "Bioconductor: open software development for
computational biology and bioinformatics." Genome Biol 5(10): R80.
Tai, Y. C. and T.
P. Speed (2009). "On gene ranking using replicated microarray time course
data." Biometrics 65(1):
40-51.
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