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computational modelling statistical methods and tool for cut point analysis in immunogenicity assays  (AbbVie Inc)

 
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    AbbVie Inc computational modelling statistical methods and tool for cut point analysis in immunogenicity assays
    Computational Modelling Statistical Methods And Tool For Cut Point Analysis In Immunogenicity Assays, supplied by AbbVie 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/statistical+computation+tool/computational+modelling+statistical+methods+and+tool+for+cut+point+analysis+in+immunogenicity+assays/pm23305975-9-35-58
    Average 90 stars, based on 1 article reviews
    computational modelling statistical methods and tool for cut point analysis in immunogenicity assays - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Immunopeptidomics:

    Article Title: Statistical methods and tool for cut point analysis in immunogenicity assays.
    Article Snippet: Article history: Received 31 July 2012 Accepted 21 December 2012 Available online 7 January 2013 Administration of biopharmaceutical products can generate immune response that may severely impact the safety or efficacy of the products.. Immunogenicity evaluation, required by regulatory agencies, relies on well developed and validated assays.. Key to such assay development is the determination of a cut point during assay validation.



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    Image Search Results


    Gene expression profile in hippocampus and PFC of sham mice at 12 months compared with the 1-month animals. (A and D) Show the heatmap summarizing the global and distinct gene expression levels across the screening sets in hippocampus (A) and PFC (D), profiled by the results of low-density TaqMan-RT-qPCR array. The analysis was performed using GraphPad Prism software (version 7.05). (B and E) Show the expression levels of the significantly ( P < 0.05) deregulated genes between sham mice at 12 months and at 1 month in hippocampus (B) and PFC (E). Data are expressed as the mean ± SD. (C) Shows the Venn diagram representing the cross-comparison of deregulated genes within the screening sets. PFC, prefrontal cortex.

    Journal: Pain

    Article Title: Long-term neuropathic pain behaviors correlate with synaptic plasticity and limbic circuit alteration: a comparative observational study in mice

    doi: 10.1097/j.pain.0000000000002549

    Figure Lengend Snippet: Gene expression profile in hippocampus and PFC of sham mice at 12 months compared with the 1-month animals. (A and D) Show the heatmap summarizing the global and distinct gene expression levels across the screening sets in hippocampus (A) and PFC (D), profiled by the results of low-density TaqMan-RT-qPCR array. The analysis was performed using GraphPad Prism software (version 7.05). (B and E) Show the expression levels of the significantly ( P < 0.05) deregulated genes between sham mice at 12 months and at 1 month in hippocampus (B) and PFC (E). Data are expressed as the mean ± SD. (C) Shows the Venn diagram representing the cross-comparison of deregulated genes within the screening sets. PFC, prefrontal cortex.

    Article Snippet: Heatmap was constructed using the statistical computing tool GraphPad Prism software (v7.05).

    Techniques: Gene Expression, Quantitative RT-PCR, Software, Expressing, Comparison

    Gene expression profile comparison between SNI and sham mice coupled by brain area and injury duration. (A, C, E, and G) Show the heatmap summarizing the global and distinct gene expression levels across the screening sets in hippocampus (A) or PFC (C) of the 1-month SNI mice compared with sham animals and in hippocampus (E) or PFC (G) of the 12-month SNI mice compared with sham animals. The heatmaps were profiled based on the results of low-density TaqMan-RT-qPCR array, and the analysis was performed using GraphPad Prism software (version 7.05). (B, D, F, and H) Show the expression levels of the significantly ( P < 0.05) deregulated genes between the 1-month SNI and sham mice at hippocampal region (B) or at PFC (D) and between the 12-month SNI and sham mice at hippocampal region (F) or at PFC (H). Data are expressed as the mean ± SD. PFC, prefrontal cortex; SNI, spared nerve injury.

    Journal: Pain

    Article Title: Long-term neuropathic pain behaviors correlate with synaptic plasticity and limbic circuit alteration: a comparative observational study in mice

    doi: 10.1097/j.pain.0000000000002549

    Figure Lengend Snippet: Gene expression profile comparison between SNI and sham mice coupled by brain area and injury duration. (A, C, E, and G) Show the heatmap summarizing the global and distinct gene expression levels across the screening sets in hippocampus (A) or PFC (C) of the 1-month SNI mice compared with sham animals and in hippocampus (E) or PFC (G) of the 12-month SNI mice compared with sham animals. The heatmaps were profiled based on the results of low-density TaqMan-RT-qPCR array, and the analysis was performed using GraphPad Prism software (version 7.05). (B, D, F, and H) Show the expression levels of the significantly ( P < 0.05) deregulated genes between the 1-month SNI and sham mice at hippocampal region (B) or at PFC (D) and between the 12-month SNI and sham mice at hippocampal region (F) or at PFC (H). Data are expressed as the mean ± SD. PFC, prefrontal cortex; SNI, spared nerve injury.

    Article Snippet: Heatmap was constructed using the statistical computing tool GraphPad Prism software (v7.05).

    Techniques: Gene Expression, Comparison, Quantitative RT-PCR, Software, Expressing