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gene expression microarray data gse14001  (Biotechnology Information)

 
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    Biotechnology Information gene expression microarray data gse14001
    Heat map of the 103 DEGs identified in the integrated <t>microarray</t> analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.
    Gene Expression Microarray Data Gse14001, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/microarray+gene+expression+profiling/gene+expression+microarray+data+gse14001/pmc06877452-79-0-18
    Average 90 stars, based on 1 article reviews
    gene expression microarray data gse14001 - by Bioz Stars, 2026-11
    90/100 stars

    Images

    1) Product Images from "Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer"

    Article Title: Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer

    Journal: OncoTargets and therapy

    doi: 10.2147/OTT.S228678

    Heat map of the 103 DEGs identified in the integrated microarray analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.
    Figure Legend Snippet: Heat map of the 103 DEGs identified in the integrated microarray analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.

    Techniques Used: Microarray

    Related Articles

    other:

    Article Title: <p>Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer</p>
    Article Snippet: Materials And Methods Gene Expression Profiling Data Gene expression microarray data (GSE14001, GSE18520, GSE26712, GSE27651, GSE40595, and GSE54388) were downloaded from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) database (http://www.ncbi.nlm.nih.gov/geo/).

    Gene Expression:

    Article Title: Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer
    Article Snippet: .. Gene expression microarray data (GSE14001, GSE18520, GSE26712, GSE27651, GSE40595, and GSE54388) were downloaded from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) database ( http://www.ncbi.nlm.nih.gov/geo/ ). ..

    Microarray:

    Article Title: Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer
    Article Snippet: .. Gene expression microarray data (GSE14001, GSE18520, GSE26712, GSE27651, GSE40595, and GSE54388) were downloaded from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) database ( http://www.ncbi.nlm.nih.gov/geo/ ). ..



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    Image Search Results


    Information of gene-expression profile datasets associated with GBM.

    Journal: Scientific Reports

    Article Title: Discovery of key molecular signatures for diagnosis and therapies of glioblastoma by combining supervised and unsupervised learning approaches

    doi: 10.1038/s41598-024-79391-2

    Figure Lengend Snippet: Information of gene-expression profile datasets associated with GBM.

    Article Snippet: Total 10 microarray gene-expression profile datasets that contained GBM and control samples, were downloaded from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database to explore GBM-causing key genes.

    Techniques: Control