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Figure 1 | BMC Bioinformatics

Figure 1

From: A new method for class prediction based on signed-rank algorithms applied to Affymetrix® microarray experiments

Figure 1

Effect of stringency of feature dimensionality reduction on predictor construction. Probe set selection between IgA and IgG heavy chain-expressing MM patient groups over a wide range of P selection values (from .05 to .37, different colors). The number of selected probe sets has no effect on the length and content of the resulting predictor after deletions with a P build value equal to or less than .01 divided by the list length for Bonferroni correction, while the computational time (standard desktop computer) is strikingly reduced. Close circles: f function or overall strength of interclass comparisons on the left vertical scale. Open circles: X2 or χ 2 g MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGacaGaaiaabeqaaeqabiWaaaGcbaqcfa4aaSaaaeaaiiGacqWFhpWydaahaaqabeaacqaIYaGmaaaabaGaem4zaCgaaaaa@309A@ min, or smallest strength of all interclass comparisons on the right vertical scale. The number of non-significant interclass comparisons NS is null here.

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