Sequence-based prediction of protein secretion success in Aspergillus niger

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

Volumn 6282 LNBI, Issue , 2010, Pages 3-14

  Van Den Berg, Bastiaan A ^a,b,d   Nijkamp, Jurgen F ^a,d   Reinders, Marcel J T ^a,b,d   Wu, Liang ^c   Pel, Herman J ^c   Roubos, Johannes A ^c   De Ridder, Dick ^a,b,d  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b Netherlands Bioinformatics Centre   (Netherlands)

^c DSM BIOTECHNOLOGY CENTER   (Netherlands)

^d KLUYVER CENTRE FOR GENOMICS OF INDUSTRIAL FERMENTATION   (Netherlands)

Author keywords

Aspergillus niger; classification; protein secretion; sequence based prediction

Indexed keywords

10-FOLD CROSS-VALIDATION; ASPERGILLUS NIGER; BIOLOGICAL PROCESS; CLASSIFICATION; COUPLE SEQUENCE; DATA SETS; FEATURE SELECTION; HOMOLOGOUS PROTEINS; INDUSTRIAL ENZYMES; LARGE-SCALE PRODUCTION; LINEAR DISCRIMINANT CLASSIFIER; POTENTIAL PROTEINS; PROTEIN PRODUCTION; PROTEIN SECRETION; SEQUENCE-BASED PREDICTION; LARGE SCALE PRODUCTIONS;

BIOINFORMATICS; CLASSIFIERS; FEATURE EXTRACTION; FORECASTING; ASPERGILLUS; PATTERN RECOGNITION; PHYSIOLOGY; PROTEINS;

PROTEINS; CLASSIFICATION (OF INFORMATION);

EID: 78049475862     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16001-1_1     Document Type: Conference Paper

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