Skip to main content

Advertisement

Figure 2 | SpringerPlus

Figure 2

From: SCLpredT: Ab initio and homology-based prediction of subcellular localization by N-to-1 neural networks

Figure 2

Animals: results and template distribution. Top: results of the 10-fold cross-validation tests for Animals. Results are presented in bins corresponding to the sequence identity of the examples to the best template that could be found. Black bars represent template-based results (MSA-hom), grey bars sequence-based results (MSA) and white bars baseline results obtained by assigning a protein to the class having the highest value in the template profile (input to the homology-based part of the network). Bottom: number of proteins with templates within given ranges of sequence identity for Animals. Black bins represent average sequence identity, grey bin identity to the best template.

Back to article page