A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Identifying significant temporal variation in time course microarray data without replicates
2009
BMC Bioinformatics
An important component of time course microarray studies is the identification of genes that demonstrate significant time-dependent variation in their expression levels. Until recently, available methods for performing such significance tests required replicates of individual time points. This paper describes a replicate-free method that was developed as part of a study of the estrous cycle in the rat mammary gland in which no replicate data was collected. Results: A temporal test statistic is
doi:10.1186/1471-2105-10-96
pmid:19323838
pmcid:PMC2682797
fatcat:udlvwzwudvfhpltdcpcagljd4a