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Figure 1 | BMC Bioinformatics

Figure 1

From: Length-dependent prediction of protein intrinsic disorder

Figure 1

VSL2 predictor architectures. The final prediction for VSL2-M1 is calculated as O L × O M + O S × (1 – O M ), while for VSL2-M2 it is the output of meta predictor M2. The inputs for M2 are 2 × W in predictions by VSL2-L and VSL2-S for the neighbouring residues in a window of length W in . All component predictors are built using classification algorithms that approximate the posterior probability p(c = 1|x), where x is the feature (input) vector and c is the class label.

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