Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm

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

Volumn 5780 LNBI, Issue , 2009, Pages 427-438

  Ying, Yiming ^a   Campbell, Colin ^a   Damoulas, Theodoros ^b   Girolami, Mark ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Bioinformatics; Multi class; Multiple kernel learning; Protein fold prediction; Protein subcellular localization

Indexed keywords

BIOLOGICAL DATA; BIOMEDICAL MODELLING; CLASS PREDICTION; DATA SETS; ITERATIVE APPROACH; MULTI-CLASS; MULTI-CLASS CLASSIFICATION; MULTI-KERNEL; MULTICLASS CLASSIFICATION PROBLEMS; MULTIPLE KERNEL LEARNING; OPTIMIZATION METHOD; PROTEIN FOLD PREDICTION; PROTEIN FOLDS; PROTEIN SUBCELLULAR LOCALIZATION; SINGLE KERNEL;

EDUCATION; PATTERN RECOGNITION; PROTEIN FOLDING;

BIOINFORMATICS;

EID: 70349857949     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04031-3_37     Document Type: Conference Paper

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