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Biochemical and Biophysical Research Communications|June 6, 2008
Predicting N-terminal acetylation based on feature selection methodYu-Dong Cai, Lin LuPlos One|July 5, 2013
An information-theoretic machine learning approach to expression QTL analysisTao Huang, Yu-Dong CaiJournal of Cellular Biochemistry|November 25, 2003
Prediction and classification of protein subcellular location-sequence-order effect and pseudo amino acid compositionKuo-Chen Chou, Yu-Dong CaiBiochemical and Biophysical Research Communications|September 11, 2004
Predicting protein structural class by functional domain compositionKuo-Chen Chou, Yu-Dong CaiProteins|February 4, 2006
Predicting protease types by hybridizing gene ontology and pseudo amino acid compositionGuo-Ping Zhou, Yu-Dong CaiJournal of Proteome Research|February 7, 2006
Predicting protein-protein interactions from sequences in a hybridization spaceKuo-Chen Chou, Yu-Dong CaiBiochemical and Biophysical Research Communications|December 6, 2005
Prediction of protease types in a hybridization spaceKuo-Chen Chou, Yu-Dong CaiBiochemical and Biophysical Research Communications|May 15, 2003
Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid compositionYu-Dong Cai, Kuo-Chen ChouBiochimica Et Biophysica Acta|May 22, 2003
Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequenceYu-dong Cai, Shuo Liang LinBiochemical and Biophysical Research Communications|November 9, 2004
Using GO-PseAA predictor to predict enzyme sub-classKuo-Chen Chou, Yu-Dong CaiPageof 31