@techreport{oai:ipsj.ixsq.nii.ac.jp:00092670,
 author = {Daichi, Nogami and Yuuichi, Nakano and Y-H.Taguchi and Daichi, Nogami and Yuuichi, Nakano and Y-H., Taguchi},
 issue = {28},
 month = {Jun},
 note = {Inference of subcellular location only using sequence information is important. In this paper, we proposed the application of principal component analysis-based linear discriminant analysis for subcellular location information. It achieved the performance of Area Under the Curve under Receiver Operating Characteristic curve mostly more than 0.95 if less than 80% sequence identity non-redundancy was applied., Inference of subcellular location only using sequence information is important. In this paper, we proposed the application of principal component analysis-based linear discriminant analysis for subcellular location information. It achieved the performance of Area Under the Curve under Receiver Operating Characteristic curve mostly more than 0.95 if less than 80% sequence identity non-redundancy was applied.},
 title = {Protein Subcellular Location Prediction Using Principal Component Analysis},
 year = {2013}
}