Figure 1From: NLStradamus: a simple Hidden Markov Model for nuclear localization signal predictionTrue positive and false positive rate of consensus and alignments based methods. a) True positive and false positive rate of a consensus-based method on all NLSs from our dataset. The false positive rate is shown as the error rate per amino acid residue. The diagonal line depicts a ratio of one true prediction per false prediction per amino acid residue. b) True positive and false positive rate of consensus and alignment based methods on classical NLSs from our dataset. The false positive rate is shown as the error rate per amino acid residue. The diagonal line depicts a ratio of one true prediction per false prediction per amino acid residue.Back to article page