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microarray transcriptomic data selventa knowledge base  (Selventa Inc)

 
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    Structured Review

    Selventa Inc microarray transcriptomic data selventa knowledge base
    Microarray Transcriptomic Data Selventa Knowledge Base, supplied by Selventa Inc, 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/microarrays+transcriptomic+data/microarray+transcriptomic+data+selventa+knowledge+base/pmc05677978-232-14-17
    Average 90 stars, based on 1 article reviews
    microarray transcriptomic data selventa knowledge base - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Microarray:

    Article Title: Mining the transcriptome for rare disease therapies: a comparison of the efficiencies of two data mining approaches and a targeted cell-based drug screen
    Article Snippet: The Pfizer CREKB integrates microarray transcriptomic data with causal statements derived from the biomedical literature (Ingenuity and Selventa “knowledge bases”) to infer upstream molecular mechanisms mediating observed gene expression changes., The underlying knowledge base (CREKB) was used to predict pathway targets that would impact the expression of the disease-related mRNA for our target 75 disease genes for the 310 drugs under test.

    Derivative Assay:

    Article Title: Mining the transcriptome for rare disease therapies: a comparison of the efficiencies of two data mining approaches and a targeted cell-based drug screen
    Article Snippet: The Pfizer CREKB integrates microarray transcriptomic data with causal statements derived from the biomedical literature (Ingenuity and Selventa “knowledge bases”) to infer upstream molecular mechanisms mediating observed gene expression changes., The underlying knowledge base (CREKB) was used to predict pathway targets that would impact the expression of the disease-related mRNA for our target 75 disease genes for the 310 drugs under test.

    Gene Expression:

    Article Title: Mining the transcriptome for rare disease therapies: a comparison of the efficiencies of two data mining approaches and a targeted cell-based drug screen
    Article Snippet: The Pfizer CREKB integrates microarray transcriptomic data with causal statements derived from the biomedical literature (Ingenuity and Selventa “knowledge bases”) to infer upstream molecular mechanisms mediating observed gene expression changes., The underlying knowledge base (CREKB) was used to predict pathway targets that would impact the expression of the disease-related mRNA for our target 75 disease genes for the 310 drugs under test.

    Expressing:

    Article Title: Mining the transcriptome for rare disease therapies: a comparison of the efficiencies of two data mining approaches and a targeted cell-based drug screen
    Article Snippet: The Pfizer CREKB integrates microarray transcriptomic data with causal statements derived from the biomedical literature (Ingenuity and Selventa “knowledge bases”) to infer upstream molecular mechanisms mediating observed gene expression changes., The underlying knowledge base (CREKB) was used to predict pathway targets that would impact the expression of the disease-related mRNA for our target 75 disease genes for the 310 drugs under test.



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    Allen Institute for Brain Science allen human brain atlas microarray transcriptomic data
    ( A ) PCA of global <t>transcriptomic</t> differences. ( B ) Heatmap of globally DEGs when modeled as ~ PDX_ID + RTS. ( C ) Volcano plot of globally DEGs when modeled by ~RTS alone (red text meets cutoffs of log 2 fold change > 2 or < –2, adjusted P < 0.05). ( D ) Circos plot of differentially regulated lncRNAs (red) with their direct DNA binding targets (black) and differentially regulated lncRNAs (blue) with their DNA binding sites.
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    Image Search Results


    ( A ) PCA of global transcriptomic differences. ( B ) Heatmap of globally DEGs when modeled as ~ PDX_ID + RTS. ( C ) Volcano plot of globally DEGs when modeled by ~RTS alone (red text meets cutoffs of log 2 fold change > 2 or < –2, adjusted P < 0.05). ( D ) Circos plot of differentially regulated lncRNAs (red) with their direct DNA binding targets (black) and differentially regulated lncRNAs (blue) with their DNA binding sites.

    Journal: JCI Insight

    Article Title: An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases

    doi: 10.1172/jci.insight.148717

    Figure Lengend Snippet: ( A ) PCA of global transcriptomic differences. ( B ) Heatmap of globally DEGs when modeled as ~ PDX_ID + RTS. ( C ) Volcano plot of globally DEGs when modeled by ~RTS alone (red text meets cutoffs of log 2 fold change > 2 or < –2, adjusted P < 0.05). ( D ) Circos plot of differentially regulated lncRNAs (red) with their direct DNA binding targets (black) and differentially regulated lncRNAs (blue) with their DNA binding sites.

    Article Snippet: Of these, existing Affymetrix transcriptomic microarray data were available for 13 PDX lines ( n = 7 sensitive, n = 6 resistant).

    Techniques: Binding Assay