Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Strickert, Marc ^a   Sreenivasulu, Nese ^a   Usadel, Björn ^b   Seiffert, Udo ^a  

^a LEIBNIZ INSTITUTE OF PLANT GENETICS AND CROP PLANT RESEARCH IPK   (Germany)

^b MAX PLANCK INSTITUTE OF MOLECULAR PLANT PHYSIOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DAYS AFTER FLOWERING; ENDOSPERM DEVELOPMENT; FUNCTIONAL RELATIONSHIP; GENE EXPRESSION PATTERNS; MULTI-DIMENSIONAL SCALING; TEMPORAL EXPRESSIONS; TWO-DIMENSIONAL DISPLAYS; VISUALIZATION METHOD;

DIGITAL STORAGE; GENE EXPRESSION; TISSUE; VISUALIZATION;

TISSUE ENGINEERING;

ARTICLE; BARLEY; BIOINFORMATICS; CORRELATION ANALYSIS; DATA MINING; ENDOSPERM; FUNCTIONAL GENOMICS; GENE CLUSTER; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE FUNCTION; GENE LOCATION; GENE MAPPING; GENETIC ALGORITHM; GENETIC ANALYSIS; GENETIC DISTANCE; NONHUMAN; PLANT DEVELOPMENT; SEQUENCE HOMOLOGY; BIOLOGY; CLUSTER ANALYSIS; DNA MICROARRAY; GENE EXPRESSION REGULATION; GENETICS; METHODOLOGY; PLANT SEED; PRENATAL DEVELOPMENT;

HORDEUM;

VEGETABLE PROTEIN;

CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, DEVELOPMENTAL; GENE EXPRESSION REGULATION, PLANT; HORDEUM; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PLANT PROTEINS; SEEDS;

EID: 34250359479     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-165     Document Type: Article

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