Improving protein localization prediction using amino acid group based physichemical encoding

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5462 LNBI, Issue , 2009, Pages 248-258

  Hu, Jianjun ^a   Fan, Zhang ^a  

^a The Department of Mechanical Engineering   (United States)

Author keywords

AA index; Amino acid groups; Physical encoding; Protein subcellular location prediction; Support vector machines

Indexed keywords

AA INDEX; COMPUTATIONAL PREDICTIONS; ENCODING METHODS; FEATURE VECTORS; MODULAR REPRESENTATIONS; PHYSICAL ENCODING; PREDICTION ACCURACY; PROTEIN LOCALIZATION; PROTEIN SEQUENCES; PROTEIN SUBCELLULAR LOCATION PREDICTION; SUBCELLULAR LOCALIZATIONS; SVM CLASSIFIERS; SYNERGISTIC EFFECT;

AMINATION; AMINES; AMINO ACIDS; BIOLOGY; ENCODING (SYMBOLS); GROUP TECHNOLOGY; IMAGE RETRIEVAL; LOCATION; ORGANIC ACIDS; PROTEINS; SUPPORT VECTOR MACHINES;

BIOINFORMATICS;

EID: 68249127556     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00727-9_24     Document Type: Conference Paper

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