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density spotted cdna microarray platform  (Eppendorf AG)


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    Eppendorf AG density spotted cdna microarray platform
    Material of the MAQC project used in this study
    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, 2026-04
    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

    Material of the MAQC project used in this study
    Figure Legend Snippet: Material of the MAQC project used in this study

    Techniques Used: Real-time Polymerase Chain Reaction

    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
    Material of the MAQC project used in this study
    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, 2026-04
    99/100 stars
    		  Buy from Supplier

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    Material of the MAQC project used in this study

    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: Material of the MAQC project used in this study

    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: Real-time Polymerase Chain Reaction

    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