Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer.
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Gene expression patterns in ovarian carcinomasImmunofluorometric quantitation and histochemical localisation of kallikrein 6 protein in ovarian cancer tissue: a new independent unfavourable prognostic biomarkerC-Fos expression is a molecular predictor of progression and survival in epithelial ovarian carcinomaFrom peas to "chips" - the new millennium of molecular biology: a primer for the surgeonCross-species hybridisation of pig RNA to human nylon microarraysStatistical modeling for selecting housekeeper genesTests for finding complex patterns of differential expression in cancers: towards individualized medicineNoise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancerGene expression profiling of epithelial ovarian tumours correlated with malignant potentialSelecting genes by test statisticsVariation in gene expression patterns in effusions and primary tumors from serous ovarian cancer patients.The molecular effect of metastasis suppressors on Src signaling and tumorigenesis: new therapeutic targetsWorld Endometriosis Research Foundation Endometriosis Phenome and Biobanking Harmonisation Project: IV. Tissue collection, processing, and storage in endometriosis researchClaudins overexpression in ovarian cancer: potential targets for Clostridium Perfringens Enterotoxin (CPE) based diagnosis and therapyHeat-shock factor 2 is a suppressor of prostate cancer invasion.Distinct expression patterns in hepatitis B virus- and hepatitis C virus-infected hepatocellular carcinomaConstructing gene co-expression networks and predicting functions of unknown genes by random matrix theoryDifferential expression of ribosomal proteins in human normal and neoplastic colorectumProfiling follicle stimulating hormone-induced gene expression changes in normal and malignant human ovarian surface epithelial cellsONCOMINE: a cancer microarray database and integrated data-mining platformDistinct lymphocyte antigens 6 (Ly6) family members Ly6D, Ly6E, Ly6K and Ly6H drive tumorigenesis and clinical outcomeThe novel oncogene CD24 and its arising role in the carcinogenesis of the GI tract: from research to therapyPrediction of body fluids where proteins are secreted into based on protein interaction networkEfficacy of a non-hypercalcemic vitamin-D2 derived anti-cancer agent (MT19c) and inhibition of fatty acid synthesis in an ovarian cancer xenograft modelLarge-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progressionClassification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclassesLarge scale molecular analysis identifies genes with altered expression in salivary adenoid cystic carcinomaMolecular requirements for transformation of fallopian tube epithelial cells into serous carcinoma.SSeCKS/Gravin/AKAP12 inhibits cancer cell invasiveness and chemotaxis by suppressing a protein kinase C- Raf/MEK/ERK pathway.PRK1 distribution in normal tissues and carcinomas: overexpression and activation in ovarian serous carcinoma.Comprehensive analysis of HE4 expression in normal and malignant human tissues.Combined genomic and gene expression microarray profiling identifies ECOP as an upregulated gene in squamous cell carcinomas independent of DNA amplification.Large-scale delineation of secreted protein biomarkers overexpressed in cancer tissue and serumPredicting cancer involvement of genes from heterogeneous data.The sharing of cDNA microarray data.Mass spectrometry as a diagnostic and a cancer biomarker discovery tool: opportunities and potential limitations.A classification-based machine learning approach for the analysis of genome-wide expression dataValidation of cDNA microarray gene expression data obtained from linearly amplified RNA.Coexpression analysis of human genes across many microarray data setsApplication of Bayesian logistic regression to mining biomedical data.
P2860
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P2860
Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer.
description
2001 nî lūn-bûn
@nan
2001 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@ast
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@en
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@nl
type
label
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@ast
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@en
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@nl
prefLabel
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@ast
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@en
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@nl
P2093
P2860
P356
P1476
Analysis of gene expression pr ...... of epithelial ovarian cancer.
@en
P2093
C A Behling
D J Lockhart
G M Hampton
L M Sapinoso
P P Zarrinkar
R A Burger
P2860
P304
P356
10.1073/PNAS.98.3.1176
P407
P577
2001-01-01T00:00:00Z