Oct 10, 2005 · We emphasize the fact that no amount of statistical analysis can compensate for (or replace) a well thought through experimental setup. We ...
Comments on selected fundamental aspects of microarray analysis
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In this note we intend to explain basic principles of five (5) major groups of analytical techniques used in studies of microarray data and their ...
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Considered alone, k-means clustering is the most effective of the four methods on typical microarray brain expression datasets, however, memISA and ISA can ...
With unbalanced data, permutation tests may not be suitable because they do not test the hypothesis of interest. In addition, permutation tests can be biased.
This review highlights uses of microarray technology that impact diagnostic microbiology, including the detection and identification of pathogens.
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Comments on selected fundamental aspects of microarray analysis. scientific article published on 10 October 2005. In more languages. Spanish. No label defined.
Microarrays are ideal for surveying thousands of samples to identify point mutations, structural variants, or changes in gene expression and methylation.
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Oct 16, 2021 · This video describes the principle, application and limitations of microarray technique. This video would answer following questions: What ...
Sep 3, 2015 · In this article we describe the individual steps of a microarray experiment, highlighting important elements and factors that may affect the processes involved.
Nov 8, 2006 · Microarray technology is one of the key developments in recent years that has propelled biological research into the post-genomic era.