Download PDF by K. Johnson, S. Lin : Methods of Microarray Data Analysis III [bioinformatics]

Download PDF by K. Johnson, S. Lin : Methods of Microarray Data Analysis III [bioinformatics]

By K. Johnson, S. Lin

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Normal tissue samples may be viewed as a search for outliers with possible diagnostic applications. Here, we will adopt the terms method outliers, to refer to gross measurement errors and other outliers of no inherent biological interest, and biological outliers to refer to atypical results that may have potential diagnostic or other biological utility. In either case, it is important to note that while the problem of detecting outliers in a dataset can be approached using mathematical methods, the problem of interpreting these outliers is not a mathematical one, but depends on our knowledge of the biology and the measurement system.

2001]. Alternatively, Shearstone and colleagues have described a method for printing oligonucleotide microarrays spiked with small amounts of dCTPCy3 or dCTP-Cy5. , 2002]. 3 Quality control during array manufacturing Many institutions have established core facilities that manufacture microarrays by spotting either PCR products from cDNA clones or chemically synthesized oligonucleotides on glass slides. Managing, maintaining, and handling large libraries of clones bring their own set of quality control problems.

Curr Opin Genet Dev 12: 149-55. Green, MR (2000) TBP-associated factors (TAFIIs): multiple, selective transcriptional mediators in common complexes. Trends Biochem Sci 25: 59-63. Jacks, T and Weinberg, RA (2002) Taking the study of cancer cell survival to a new dimension. Cell 111: 923-5. Jordan, JD, Landau, EM and Iyengar, R (2000) Signaling networks: the origins of cellular multitasking. Cell 103: 193-200. Kolch, W (2000) Meaningful relationships: the regulation of the Ras/Raf/MEK/ERK pathway by protein interactions.

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