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microarray gene expression datasets  (Biotechnology Information)

 
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    Biotechnology Information microarray gene expression datasets
    Microarray Gene Expression Datasets, 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/result/microarray gene expression datasets/product/Biotechnology Information
    Average 90 stars, based on 1 article reviews
    microarray gene expression datasets - by Bioz Stars, 2026-03
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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

    Number of DEGs of gastric cancer (GSE64951) involved in GO categories. (A) Biological processes (B) Molecular Function (C) Cellular components.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: Number of DEGs of gastric cancer (GSE64951) involved in GO categories. (A) Biological processes (B) Molecular Function (C) Cellular components.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques:

    Protein–protein interaction network and network sub‐clusters (modules) for DEGs gastric cancer (GSE64951). Here Green nodes = downregulated genes; Red nodes = upregulated genes.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: Protein–protein interaction network and network sub‐clusters (modules) for DEGs gastric cancer (GSE64951). Here Green nodes = downregulated genes; Red nodes = upregulated genes.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques:

    Pathway Enrichment network for DEGs (GSE64951) in top three sub‐clusters of PPI network.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: Pathway Enrichment network for DEGs (GSE64951) in top three sub‐clusters of PPI network.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques:

    Identification of hub genes of gastricQ3 cancer (GSE64951) through 12 methods in CytoHubba.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: Identification of hub genes of gastricQ3 cancer (GSE64951) through 12 methods in CytoHubba.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques:

    Gene association network of hub genes from gastric cancer DEGs dataset GSE64951. Black nodes = hub genes; Grey nodes = result (associated) genes.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: Gene association network of hub genes from gastric cancer DEGs dataset GSE64951. Black nodes = hub genes; Grey nodes = result (associated) genes.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques:

    mRNA ‐miRNA network for the hub genes of dataset GSE64951.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: mRNA ‐miRNA network for the hub genes of dataset GSE64951.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques:

    Kaplan–Meier‐Plots for survival analysis of hub genes from the gastric cancer DEGs dataset GSE64951. (A) PP2CA. (B) EGFR. (C) CDKN2A. (D) MAPK1. (E) HSP90AA1. (F) HPSP4. (G) ATM (H) CDC20.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: Kaplan–Meier‐Plots for survival analysis of hub genes from the gastric cancer DEGs dataset GSE64951. (A) PP2CA. (B) EGFR. (C) CDKN2A. (D) MAPK1. (E) HSP90AA1. (F) HPSP4. (G) ATM (H) CDC20.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques:

    Boxplots for the expression of hub genes in gastric cancer (dataset GSE64951). (A) CDKN2A. (B) EGFR. (C) PP2CA. (D) HSP90AA1. (E) MAPK1. (F) HPSP4. * represents the significant expression status.

    Journal: Journal of Cellular and Molecular Medicine

    Article Title: Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach

    doi: 10.1111/jcmm.70133

    Figure Lengend Snippet: Boxplots for the expression of hub genes in gastric cancer (dataset GSE64951). (A) CDKN2A. (B) EGFR. (C) PP2CA. (D) HSP90AA1. (E) MAPK1. (F) HPSP4. * represents the significant expression status.

    Article Snippet: Total of 734 DEGs retrieved from Affymetrix gene expression microarray dataset (GSE64951) contained 507 upregulated and 228 downregulated genes.

    Techniques: Expressing