Predicting meiotic pathways in human fetal oogenesis

Biology of Reproduction

Volumn 82, Issue 3, 2010, Pages 543-551

  Zheng, Ping ^a   Griswold, Michael D ^a   Hassold, Terry J ^a   Hunt, Patricia A ^a   Small, Christopher L ^a   Ye, Ping ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Computational prediction; Fetus; Meiosis; Naive Bayesian network; Oocyte development; Ovary

Indexed keywords

ARTICLE; BAYES THEOREM; GENE CLUSTER; GENE EXPRESSION; GENE FUNCTION; GERM CELL; MEIOSIS; MOLECULAR PHYLOGENY; OOCYTE DEVELOPMENT; OVARY CELL; PHENOTYPE; PRIORITY JOURNAL; PROTEIN DOMAIN; PROTEIN PROTEIN INTERACTION; SOMATIC CELL; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; DEVELOPMENTAL GENE; FEMALE; FETUS; GENE REGULATORY NETWORK; GENETICS; HUMAN; METABOLISM; OVARY; PHYSIOLOGY; PRENATAL DEVELOPMENT; SIGNAL TRANSDUCTION; STATISTICAL MODEL; THEORETICAL MODEL; VALIDATION STUDY;

MAMMALIA;

ALGORITHMS; COMPUTATIONAL BIOLOGY; FEMALE; FETUS; GENE EXPRESSION; GENE REGULATORY NETWORKS; GENES, DEVELOPMENTAL; HUMANS; MEIOSIS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MODELS, THEORETICAL; OOGENESIS; OVARY; SIGNAL TRANSDUCTION; VALIDATION STUDIES AS TOPIC;

EID: 77953089429     PISSN: 00063363     EISSN: 15297268     Source Type: Journal    
DOI: 10.1095/biolreprod.109.079590     Document Type: Article

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