Robust discriminant analysis and its application to identify protein coding regions of rice genes

Mathematical Biosciences

Volumn 232, Issue 2, 2011, Pages 96-100

  Jin, Jiao ^a   An, Jinbing ^b  

^a BEIJING NORMAL UNIVERSITY   (China)

^b PEKING UNIVERSITY HEALTH SCIENCE CENTER   (China)

Author keywords

Identification; Protein coding regions; Rice genes; Robust discriminant analysis

Indexed keywords

APPLICATION DOMAINS; CODING CHARACTERS; DATA SETS; IDENTIFICATION OF PROTEINS; LINEAR DISCRIMINANT ANALYSIS; PRE-DEFINED CLASS; PROTEIN CODING REGIONS; QUADRATIC DISCRIMINANT ANALYSIS; RICE GENES; ROBUST DISCRIMINANT ANALYSIS; ROBUST STATISTICAL METHOD; STATISTICAL PATTERN RECOGNITION; STATISTICAL TECHNIQUES;

GENES; PATTERN RECOGNITION; PROTEINS;

DISCRIMINANT ANALYSIS;

GENOMIC DNA;

DATA SET; DISCRIMINANT ANALYSIS; PROTEIN; RICE; STATISTICAL ANALYSIS;

ACCURACY; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CODING; DISCRIMINANT ANALYSIS; DNA STRAND; EUKARYOTE; EXON; INTRON; LINEAR DISCRIMINANT ANALYSIS; MATHEMATICAL ANALYSIS; NONHUMAN; OPEN READING FRAME; PROBABILITY; PROTEIN ANALYSIS; QUADRATIC DISCRIMINANT ANALYSIS; RICE; STOP CODON;

DISCRIMINANT ANALYSIS; GENOME, PLANT; OPEN READING FRAMES; ORYZA SATIVA; PLANT PROTEINS;

EID: 79960109508     PISSN: 00255564     EISSN: 18793134     Source Type: Journal    
DOI: 10.1016/j.mbs.2011.04.007     Document Type: Article

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