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Micr oarray Data Analysis Using Machine Learning Methods 27

analysis. In addition to advanced computational methods that are
capable of extracting knowledge from complex and high-dimensional
data, this task requires careful experimental design (randomization
and replication), sample collection, and preparation to control system-
atic bias. Ransohoff (2005) noted recently that bias presents the greatest
difficulty at every step of design, conduct, and interpretation. Analysis
results need to go through a thorough interlaboratory validation to
ensure accurate biological interpretation.

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