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I am using a gel-based proteomic approach to analyse differential
protein expression. Unfortunately, even the best algorithms can't
match up all spots on all gels, so I frequently have missing data.
Is there an industry "cut off point" limiting the percentage of
missing data that can be replaced using e.g. SPSS. I.e., if a spot
is present in 80% of gels (of similar samples), and I generate the
remaining 20% in order to run hierarchical cluster analysis, is that
acceptable?
Thanks, Mandy
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Copyright 1995-2010 David W. A. Bourne (david@boomer.org)