An automated combination of kernels for predicting protein subcellular localization

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

Volumn 5251 LNBI, Issue , 2008, Pages 186-197

  Ong, Cheng Soon ^a,b   Zien, Alexander ^a,c  

^a FRIEDRICH MIESCHER LABORATORY OF THE MAX PLANCK SOCIETY   (Germany)

^b MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^c FRAUNHOFER FIRST   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AMINES; AMINO ACIDS; BIOINFORMATICS; FORECASTING; IMAGE SEGMENTATION; MULTILAYER NEURAL NETWORKS; OPEN SYSTEMS; ORGANIC ACIDS; TECHNICAL PRESENTATIONS; VECTORS;

AMINO ACID MOTIFS; AUTOMATED APPROACHES; BINARY CLASSIFICATION PROBLEMS; CELLULAR PROCESSES; COMPUTATIONAL TOOLS; CURRENT STATES; DATA FILES; DATA SETS; DESIGN DECISIONS; GENERAL CLASSES; MULTICLASS SUPPORT VECTOR MACHINES; MULTIPLE KERNELS; OPEN SOURCE SOFTWARES; PREDICTION OF PROTEIN FUNCTIONS; PROTEIN INTERACTIONS; PROTEIN SEQUENCES; PROTEIN SUBCELLULAR LOCALIZATIONS; SEQUENCE MOTIFS; SUBCELLULAR LOCALIZATIONS; TO MANY;

SUPPORT VECTOR MACHINES;

EID: 56649094293     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87361-7_16     Document Type: Conference Paper

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