Using a kernel density estimation based classifier to predict species-specific microRNA precursors

BMC Bioinformatics

Volumn 9, Issue SUPPL. 12, 2008, Pages

  Chang, Darby Tien Hao ^a   Wang, Chih Ching ^a   Chen, Jian Wei ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AB INITIO APPROACH; CLASSIFICATION ALGORITHM; CLASSIFICATION MECHANISM; CLASSIFICATION METHODOLOGIES; COMPREHENSIVE ANALYSIS; KERNEL DENSITY ESTIMATION; LOCAL INFORMATION; POST-TRANSCRIPTIONAL REGULATIONS; AB INITIO METHOD; MICRORNAS; NON-CODING RNAS; RNA MOLECULES; TRAINING DATASET; TRAINING SETS; VARIABLE KERNELS;

FEATURE EXTRACTION; FORECASTING; GENE EXPRESSION; SUPPORT VECTOR MACHINES; BIOINFORMATICS; MOLECULES;

RNA;

MICRORNA; RNA PRECURSOR; RNA;

AB INITIO CALCULATION; ACCURACY; CLASSIFIER; COMPUTER PROGRAM; CONFERENCE PAPER; HUMAN; INFORMATION PROCESSING; INTERMETHOD COMPARISON; KERNEL METHOD; PREDICTION; QUALITY CONTROL; RNA ANALYSIS; SENSITIVITY AND SPECIFICITY; SPECIES DIFFERENCE; SUPPORT VECTOR MACHINE; TAXONOMY; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CHEMISTRY; GENE EXPRESSION REGULATION; METABOLISM; METHODOLOGY; REPRODUCIBILITY; SEQUENCE ALIGNMENT; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; GENE EXPRESSION REGULATION; HUMANS; MICRORNAS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RNA; SEQUENCE ALIGNMENT; SOFTWARE; SPECIES SPECIFICITY;

EID: 57649207899     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S12-S2     Document Type: Conference Paper

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