A novel approach to detect differentially expressed genes from count-based digital databases by normalizing with housekeeping genes

Genomics

Volumn 94, Issue 3, 2009, Pages 211-216

  Lü, Bingjian ^a,b   Yu, Jiyang ^b   Xu, Jing ^b   Chen, Jian ^b   Lai, Maode ^b  

^a Womens Hospital   (China)

^b ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE   (China)

Author keywords

Bayesian model; Calibrator; Data mining; Differentially gene expression; EST; SAGE

Indexed keywords

APC PROTEIN; B RAF KINASE; BETA 2 MICROGLOBULIN; BETA ACTIN; BRCA1 PROTEIN; EPIDERMAL GROWTH FACTOR RECEPTOR; GLYCERALDEHYDE 3 PHOSPHATE DEHYDROGENASE; HYPOXANTHINE PHOSPHORIBOSYLTRANSFERASE; K RAS PROTEIN; KRUPPEL LIKE FACTOR 4; ONCOPROTEIN; PORPHOBILINOGEN DEAMINASE; PROTEIN P53; RIBOSOME PROTEIN; SECRETORY COMPONENT; SMAD4 PROTEIN; SUCCINATE DEHYDROGENASE; TATA BINDING PROTEIN; TYROSINE 3 MONOOXYGENASE; UBIQUITIN C;

ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER GENETICS; CANCER RESEARCH; COLORECTAL CANCER; GENE EXPRESSION PROFILING; GENE SEQUENCE; GENETIC DATABASE; HOUSEKEEPING GENE; HUMAN; LUNG CANCER; NUCLEOTIDE SEQUENCE; PHENOTYPE; PRIORITY JOURNAL; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; SERIAL ANALYSIS OF GENE EXPRESSION; STATISTICAL MODEL;

ALGORITHMS; BREAST NEOPLASMS; COLORECTAL NEOPLASMS; DATABASES, GENETIC; EXPRESSED SEQUENCE TAGS; FEMALE; GENES; HUMANS; LUNG NEOPLASMS; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; RNA, MESSENGER;

EID: 68549112747     PISSN: 08887543     EISSN: 10898646     Source Type: Journal    
DOI: 10.1016/j.ygeno.2009.05.003     Document Type: Article

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