SLPFA is a predictor for subcellular location prediction of proteins by feature vectors based on amino acid composition (frequency) and sequence alignment. 90.96% of overall accuracy was obtained through fivefold cross validation tests with TargetP plant data sets.
SLPFA is an improved subcellular location predictor of SLP-Local
Akutsu Laboratory (Laboratory of Mathematical Bioinformatics)
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BMC Bioinformatics. 2007 Nov 30;8:466.
Subcellular location prediction of proteins using support vector machines with alignment of block sequences utilizing amino acid composition.
Tamura T, Akutsu T.