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LRSA:A new computational method for analyzing time course microarray data
LRSA new computational method time course microarray data
2010/4/30
Time course data obtained from biological samples subject to specific treatments
can be very useful for revealing complex and novel biological phenomena. Although an
increasing number of time course...
Smoothing ℓ₁-penalized estimators for high-dimensional time-course data
Lasso Local least squares Multivariate regression Variable selection Weighted likelihood
2009/9/16
When a series of (related) linear models has to be estimated it is often appropriate to combine the different data-sets to construct more efficient estimators. We use ℓ₁-penalized estimato...
The Cyclohedron Test for Finding Periodic Genes in Time Course Expression Studies
Cyclohedron Test Periodic Genes Time Course Expression Studies
2010/4/27
The problem of finding periodically expressed genes from time course microarray
experiments is at the center of numerous efforts to identify the molecular components
of biological clocks. We present...
A multivariate empirical Bayes statistic for replicated microarray time course data
Microarray time course longitudinal multivariate empiricalBayes moderation gene ranking replication
2010/4/26
In this paper we derive one- and two-sample multivariate empirical
Bayes statistics (the MB-statistics) to rank genes in order of
interest from longitudinal replicated developmental microarray time
...