Multiple instance learning allows MHC class II epitope predictions across alleles

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

Volumn 5251 LNBI, Issue , 2008, Pages 210-221

  Pfeifer, Nico ^a   Kohlbacher, Oliver ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AMINES; BIOINFORMATICS; DATA STRUCTURES; EDUCATION; IMMUNOLOGY; LEARNING SYSTEMS; PEPTIDES; PROTEINS; ROBOT LEARNING; STANDARDIZATION; TECHNICAL PRESENTATIONS;

ADAPTIVE IMMUNE RESPONSES; AREA UNDER THE ROC CURVES; AVERAGE PERFORMANCES; BINDING PEPTIDES; CHALLENGING TASKS; DATA POINTS; EXTERNAL-; IMMUNE RESPONSES; LEARNING PROCESSES; MACHINE LEARNING PROBLEMS; MAJOR HISTOCOMPATIBILITY COMPLEXES; MHC CLASS II BINDING PEPTIDES; MHC CLASSES; MULTIPLE INSTANCE LEARNINGS; ON MACHINES; PREDICTION MODELS; WEB SERVERS;

FORECASTING;

EID: 56649091109     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87361-7_18     Document Type: Conference Paper

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