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hgu133plus2 microarrays  (Thermo Fisher)


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    Thermo Fisher hgu133plus2 microarrays
    Hgu133plus2 Microarrays, supplied by Thermo Fisher, 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/hgu133plus2 microarrays/product/Thermo Fisher
    Average 90 stars, based on 1 article reviews
    hgu133plus2 microarrays - by Bioz Stars, 2026-04
    90/100 stars

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    Histogram of the size of the 463 separate network components of the inferred B-cell C3NET gene regulatory network inferred from the Basso GSE2350 dataset (left). Middle and right: DLBCL-C3NET gene regulatory networks with 556 separated network components for the Salaverria GSE22470 dataset and 593 separated network components for the Lenz GSE11318 dataset .

    Journal: BMC Systems Biology

    Article Title: Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma

    doi: 10.1186/1752-0509-6-38

    Figure Lengend Snippet: Histogram of the size of the 463 separate network components of the inferred B-cell C3NET gene regulatory network inferred from the Basso GSE2350 dataset (left). Middle and right: DLBCL-C3NET gene regulatory networks with 556 separated network components for the Salaverria GSE22470 dataset and 593 separated network components for the Lenz GSE11318 dataset .

    Article Snippet: We retrieved a Diffuse-large B-cell lymphoma hgu133plus2 Affymetrix microarray data set with accession GSE11318 [ ] including 203 samples, and a Diffuse large B-cell lymphoma hgu133a Affymetrix microarray data set with the accession GSE22470 [ ] including 271 samples.

    Techniques:

    Hierarchical organization of the K = 25 largest network components of the B-cell C3NET gene regulatory network inferred from the Basso GSE2350 dataset and the DLBCL gene regulatory network inferred from the Salaverria GSE22470 dataset and the Lenz GSE11318 dataset . The numbers of the network components correspond to the leaves of the dendrogram. The GCC corresponds to number ‘1’. A) Clustering of the GO enrichment analysis, category Cellular Component . We show GO terms from the top ranked frequency counts of GO terms for the branches, indicted by the vertical color bars. B) Hierarchical clustering of the structural network components. Left and right: The red part of a dendrogram represents network components with Gene Ontology terms enriched with extracellular and membrane proteins. Green and blue network components are enriched with intracellular proteins.

    Journal: BMC Systems Biology

    Article Title: Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma

    doi: 10.1186/1752-0509-6-38

    Figure Lengend Snippet: Hierarchical organization of the K = 25 largest network components of the B-cell C3NET gene regulatory network inferred from the Basso GSE2350 dataset and the DLBCL gene regulatory network inferred from the Salaverria GSE22470 dataset and the Lenz GSE11318 dataset . The numbers of the network components correspond to the leaves of the dendrogram. The GCC corresponds to number ‘1’. A) Clustering of the GO enrichment analysis, category Cellular Component . We show GO terms from the top ranked frequency counts of GO terms for the branches, indicted by the vertical color bars. B) Hierarchical clustering of the structural network components. Left and right: The red part of a dendrogram represents network components with Gene Ontology terms enriched with extracellular and membrane proteins. Green and blue network components are enriched with intracellular proteins.

    Article Snippet: We retrieved a Diffuse-large B-cell lymphoma hgu133plus2 Affymetrix microarray data set with accession GSE11318 [ ] including 203 samples, and a Diffuse large B-cell lymphoma hgu133a Affymetrix microarray data set with the accession GSE22470 [ ] including 271 samples.

    Techniques: