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Overall, results reported in the literature have demonstrated that microarray platforms are a valuable tool for genomic study of CLL and the identification of novel aberrations which may be cryptic by conventional techniques.
Microarray-based typing methods thus far discussed in the literature have thus far been able to identify only 6%to33%3% of the allelic variations in the loci of interest.
The few microarray studies of normal mouse mammary gland described in the literature have either focused on early stages in the developmental cycle [ 14], or have used mammary data as a tool for illustrating methods of data analysis [ 15, 16].
Information derived from DNA microarray experiments, computational predictions, and literature has opened the way for the graph-based analysis, visualization, and reconstruction of transcriptional regulatory networks across entire organisms.
That's where the literature has been.
The literature has since mushroomed.
Literature has taught me more.
Tamil literature has existed for over 2000 years.
Many complicated prediction rules have been suggested in the microarray literature.
To our best knowledge, discrepancies in terms of gene-specific residual variance across different biological conditions (groups or arrays) have never been considered in the microarray literature.
This is a common choice in the microarray literature [ 50].
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