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Figure 2 | BMC Bioinformatics

Figure 2

From: Discovering collectively informative descriptors from high-throughput experiments

Figure 2

BLANKET applied to a second set illustrative lists of n = 500 descriptors. Descriptors in Experiment A are ranked in canonical order 1, 2, ..., 500. To the same ranking, weighted noise is added to arrive at an Experiment B ranking of 7, 26, 17, 32, 21, 34, 12, 46, 49, 14, 57, 54, 67, 19, 61, 28, 1, 15, 82,... BLANKET finds no shortlists of length at most 10 that meet the criteria for significance (p-value ≤ .05, corresponding to RFET < .00105). However, BLANKET finds three shortlist pairs as shown of length < 20 that do meet the same (RFET < .00800). Thus BLANKET, not knowing the effects of noise, would recommend to the researcher these descriptors for further investigation. Note the characteristic sharp decline in RFET values near the chosen shortlists. This example is relevant to the case of one experiment performed with great accuracy and the other with substantial noise. Note that each selected shortlist pair (p, q) has unequal numbers of descriptors selected from both experiments (p ≠ q).

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