dna microarray dataset Search Results


gene expression dna microarray dataset  (Almac Inc)
90
Almac Inc gene expression dna microarray dataset
A: Supervised hierarchical clustering displaying the genes significantly modulated between the resistant and sensitive cell lines (52 under‐ and 51 over‐expressed in resistant cell lines) using a cutoff of twofold change on expression and FDR < 0.01. B: Fold difference in gene expression between sensitive and resistant cell lines detected by qRT‐PCR analyses. Seven genes were selected from the list of altered genes for this analysis. The results from sensitive or resistant cell lines were pooled to obtain an estimated fold change. C: Correlation between the qRT‐PCR and the <t>microarray</t> expression data. The fold difference detected by qRT‐PCR between sensitive and resistant cell lines correlated significantly confirming the microarray results (Pearson's correlation or ρ = 0.739, p ‐value = 0.013).
Gene Expression Dna Microarray Dataset, supplied by Almac 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/result/gene expression dna microarray dataset/product/Almac Inc
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gene expression dna microarray dataset - by Bioz Stars, 2026-03
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dna microarray data for the almac dataset  (Almac Inc)
90
Almac Inc dna microarray data for the almac dataset
A: Supervised hierarchical clustering displaying the genes significantly modulated between the resistant and sensitive cell lines (52 under‐ and 51 over‐expressed in resistant cell lines) using a cutoff of twofold change on expression and FDR < 0.01. B: Fold difference in gene expression between sensitive and resistant cell lines detected by qRT‐PCR analyses. Seven genes were selected from the list of altered genes for this analysis. The results from sensitive or resistant cell lines were pooled to obtain an estimated fold change. C: Correlation between the qRT‐PCR and the <t>microarray</t> expression data. The fold difference detected by qRT‐PCR between sensitive and resistant cell lines correlated significantly confirming the microarray results (Pearson's correlation or ρ = 0.739, p ‐value = 0.013).
Dna Microarray Data For The Almac Dataset, supplied by Almac 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/result/dna microarray data for the almac dataset/product/Almac Inc
Average 90 stars, based on 1 article reviews
dna microarray data for the almac dataset - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
van de vijver dna microarray dataset  (Rosetta Inpharmatics)
90
Rosetta Inpharmatics van de vijver dna microarray dataset
A: Supervised hierarchical clustering displaying the genes significantly modulated between the resistant and sensitive cell lines (52 under‐ and 51 over‐expressed in resistant cell lines) using a cutoff of twofold change on expression and FDR < 0.01. B: Fold difference in gene expression between sensitive and resistant cell lines detected by qRT‐PCR analyses. Seven genes were selected from the list of altered genes for this analysis. The results from sensitive or resistant cell lines were pooled to obtain an estimated fold change. C: Correlation between the qRT‐PCR and the <t>microarray</t> expression data. The fold difference detected by qRT‐PCR between sensitive and resistant cell lines correlated significantly confirming the microarray results (Pearson's correlation or ρ = 0.739, p ‐value = 0.013).
Van De Vijver Dna Microarray Dataset, supplied by Rosetta Inpharmatics, 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/van de vijver dna microarray dataset/product/Rosetta Inpharmatics
Average 90 stars, based on 1 article reviews
van de vijver dna microarray dataset - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


A: Supervised hierarchical clustering displaying the genes significantly modulated between the resistant and sensitive cell lines (52 under‐ and 51 over‐expressed in resistant cell lines) using a cutoff of twofold change on expression and FDR < 0.01. B: Fold difference in gene expression between sensitive and resistant cell lines detected by qRT‐PCR analyses. Seven genes were selected from the list of altered genes for this analysis. The results from sensitive or resistant cell lines were pooled to obtain an estimated fold change. C: Correlation between the qRT‐PCR and the microarray expression data. The fold difference detected by qRT‐PCR between sensitive and resistant cell lines correlated significantly confirming the microarray results (Pearson's correlation or ρ = 0.739, p ‐value = 0.013).

Journal: The Journal of Pathology: Clinical Research

Article Title: A 12‐gene signature to distinguish colon cancer patients with better clinical outcome following treatment with 5‐fluorouracil or FOLFIRI

doi: 10.1002/cjp2.17

Figure Lengend Snippet: A: Supervised hierarchical clustering displaying the genes significantly modulated between the resistant and sensitive cell lines (52 under‐ and 51 over‐expressed in resistant cell lines) using a cutoff of twofold change on expression and FDR < 0.01. B: Fold difference in gene expression between sensitive and resistant cell lines detected by qRT‐PCR analyses. Seven genes were selected from the list of altered genes for this analysis. The results from sensitive or resistant cell lines were pooled to obtain an estimated fold change. C: Correlation between the qRT‐PCR and the microarray expression data. The fold difference detected by qRT‐PCR between sensitive and resistant cell lines correlated significantly confirming the microarray results (Pearson's correlation or ρ = 0.739, p ‐value = 0.013).

Article Snippet: Hence, we used a publically available gene expression DNA microarray dataset generated by Almac Diagnostics on 359 FFPE tissue specimens from stage II colon cancer that did not receive adjuvant chemotherapy.

Techniques: Expressing, Gene Expression, Quantitative RT-PCR, Microarray