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density spotted cdna microarray platform  (Eppendorf AG)

 
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    Eppendorf AG density spotted cdna microarray platform
    Correlation between <t> Microarray </t> and Taqman fold-changes
    Density Spotted Cdna Microarray Platform, supplied by Eppendorf AG, used in various techniques. Bioz Stars score: 99/100, based on 202189 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/density spotted cdna microarray platform/product/Eppendorf AG
    Average 99 stars, based on 202189 article reviews
    density spotted cdna microarray platform - by Bioz Stars, 2026-03
    99/100 stars

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    1) Product Images from "Impact of the spotted microarray preprocessing method on fold-change compression and variance stability"

    Article Title: Impact of the spotted microarray preprocessing method on fold-change compression and variance stability

    Journal: BMC Bioinformatics

    doi: 10.1186/1471-2105-12-413

    Correlation between Microarray and Taqman fold-changes
    Figure Legend Snippet: Correlation between Microarray and Taqman fold-changes

    Techniques Used: Microarray

    Scatter plot between microarray and Taqman . Scatter plot of log2 fold-changes obtained from quantitative PCR versus the log2 fold-changes obtained from microarray after the best- (Standard background correction with log2 transformation) and the worst- (No background correction with glog transformation) preprocessing methods. Microarray data leads to fold-change compressions for many genes, especially with the No background correction and the glog transformation (see Figure2).
    Figure Legend Snippet: Scatter plot between microarray and Taqman . Scatter plot of log2 fold-changes obtained from quantitative PCR versus the log2 fold-changes obtained from microarray after the best- (Standard background correction with log2 transformation) and the worst- (No background correction with glog transformation) preprocessing methods. Microarray data leads to fold-change compressions for many genes, especially with the No background correction and the glog transformation (see Figure2).

    Techniques Used: Microarray, Real-time Polymerase Chain Reaction, Transformation Assay

    GE Healthcare Fold-change compression . Lowess curves of the log2 fold-change compression estimated with the GE Healtchare platform as a function of the average processed intensity. The No background correction as well as the glog transformation produce high fold-change compression at low processed intensities. The fold-change compression at low intensities affects the correlation between gold-standard fold-changes and those obtained with microarray data (see Table 2).
    Figure Legend Snippet: GE Healthcare Fold-change compression . Lowess curves of the log2 fold-change compression estimated with the GE Healtchare platform as a function of the average processed intensity. The No background correction as well as the glog transformation produce high fold-change compression at low processed intensities. The fold-change compression at low intensities affects the correlation between gold-standard fold-changes and those obtained with microarray data (see Table 2).

    Techniques Used: Transformation Assay, Microarray



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    density spotted cdna microarray platform  (Eppendorf AG)
    99
    Eppendorf AG density spotted cdna microarray platform
    Correlation between <t> Microarray </t> and Taqman fold-changes
    Density Spotted Cdna Microarray Platform, supplied by Eppendorf AG, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/density spotted cdna microarray platform/product/Eppendorf AG
    Average 99 stars, based on 1 article reviews
    density spotted cdna microarray platform - by Bioz Stars, 2026-03
    99/100 stars
    		  Buy from Supplier

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    Correlation between Microarray and Taqman fold-changes

    Journal: BMC Bioinformatics

    Article Title: Impact of the spotted microarray preprocessing method on fold-change compression and variance stability

    doi: 10.1186/1471-2105-12-413

    Figure Lengend Snippet: Correlation between Microarray and Taqman fold-changes

    Article Snippet: As our study focuses on the preprocessing of spotted microarray data, we decided to perform analyses on a high density spotted oligonucleotide microarray platform (CodeLink Human Whole Genome from GE Healthcare) as well as on a low density spotted cDNA microarray platform (Dualchip Microarray from Eppendorf).

    Techniques: Microarray

    Scatter plot between microarray and Taqman . Scatter plot of log2 fold-changes obtained from quantitative PCR versus the log2 fold-changes obtained from microarray after the best- (Standard background correction with log2 transformation) and the worst- (No background correction with glog transformation) preprocessing methods. Microarray data leads to fold-change compressions for many genes, especially with the No background correction and the glog transformation (see Figure2).

    Journal: BMC Bioinformatics

    Article Title: Impact of the spotted microarray preprocessing method on fold-change compression and variance stability

    doi: 10.1186/1471-2105-12-413

    Figure Lengend Snippet: Scatter plot between microarray and Taqman . Scatter plot of log2 fold-changes obtained from quantitative PCR versus the log2 fold-changes obtained from microarray after the best- (Standard background correction with log2 transformation) and the worst- (No background correction with glog transformation) preprocessing methods. Microarray data leads to fold-change compressions for many genes, especially with the No background correction and the glog transformation (see Figure2).

    Article Snippet: As our study focuses on the preprocessing of spotted microarray data, we decided to perform analyses on a high density spotted oligonucleotide microarray platform (CodeLink Human Whole Genome from GE Healthcare) as well as on a low density spotted cDNA microarray platform (Dualchip Microarray from Eppendorf).

    Techniques: Microarray, Real-time Polymerase Chain Reaction, Transformation Assay

    GE Healthcare Fold-change compression . Lowess curves of the log2 fold-change compression estimated with the GE Healtchare platform as a function of the average processed intensity. The No background correction as well as the glog transformation produce high fold-change compression at low processed intensities. The fold-change compression at low intensities affects the correlation between gold-standard fold-changes and those obtained with microarray data (see Table 2).

    Journal: BMC Bioinformatics

    Article Title: Impact of the spotted microarray preprocessing method on fold-change compression and variance stability

    doi: 10.1186/1471-2105-12-413

    Figure Lengend Snippet: GE Healthcare Fold-change compression . Lowess curves of the log2 fold-change compression estimated with the GE Healtchare platform as a function of the average processed intensity. The No background correction as well as the glog transformation produce high fold-change compression at low processed intensities. The fold-change compression at low intensities affects the correlation between gold-standard fold-changes and those obtained with microarray data (see Table 2).

    Article Snippet: As our study focuses on the preprocessing of spotted microarray data, we decided to perform analyses on a high density spotted oligonucleotide microarray platform (CodeLink Human Whole Genome from GE Healthcare) as well as on a low density spotted cDNA microarray platform (Dualchip Microarray from Eppendorf).

    Techniques: Transformation Assay, Microarray