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Thermo Fisher
u95av2 microarray platform U95av2 Microarray Platform, supplied by Thermo Fisher, 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/u95av2 microarray platform/product/Thermo Fisher Average 90 stars, based on 1 article reviews
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u133a ![]() U133a, supplied by Thermo Fisher, 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/u133a/product/Thermo Fisher Average 90 stars, based on 1 article reviews
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u133 ![]() U133, supplied by Thermo Fisher, 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/u133/product/Thermo Fisher Average 90 stars, based on 1 article reviews
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Thermo Fisher
genechips ![]() Genechips, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/genechips/product/Thermo Fisher Average 86 stars, based on 1 article reviews
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Thermo Fisher
u133a platform ![]() U133a Platform, supplied by Thermo Fisher, 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/u133a platform/product/Thermo Fisher Average 90 stars, based on 1 article reviews
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Thermo Fisher
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Unigene
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Novartis
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Image Search Results
Journal: BMC Genomics
Article Title: Inter-Platform comparability of microarrays in acute lymphoblastic leukemia
doi: 10.1186/1471-2164-5-71
Figure Lengend Snippet: Training and test datasets used to validate ALL subclass predictors
Article Snippet: The independent datasets that we accumulated, including the one generated in our lab, spanned four different microarray platforms:
Techniques: Microarray
Journal: BMC Genomics
Article Title: Inter-Platform comparability of microarrays in acute lymphoblastic leukemia
doi: 10.1186/1471-2164-5-71
Figure Lengend Snippet: Prediction accuracies for ALL subclasses as determined by the different microarray platforms.
Article Snippet: The independent datasets that we accumulated, including the one generated in our lab, spanned four different microarray platforms:
Techniques: Microarray
Journal: Biology Direct
Article Title: Too much data, but little inter-changeability: a lesson learned from mining public data on tissue specificity of gene expression
doi: 10.1186/1745-6150-1-33
Figure Lengend Snippet: Distribution of correlation coefficient in tissue distribution between SAGE and microarray platforms. (A) Correlation between SAGE and GDS422; (B) Correlation between SAGE and GDS181; (3) Correlation between SAGE and GDS596. X-axis represents the number of genes in each correlation category; Y-axis represents the correlation coefficient. There were similar numbers of negative correlation as positive correlation, with slightly more positive correlated genes between the platforms.
Article Snippet: Microarray data were from
Techniques: Microarray
Journal: Biology Direct
Article Title: Too much data, but little inter-changeability: a lesson learned from mining public data on tissue specificity of gene expression
doi: 10.1186/1745-6150-1-33
Figure Lengend Snippet: The distribution of correlation coefficients across the number of common tissue types that data are available for both microarray and SAGE platforms. (A)SAGE and GDS422; (B) SAGE and GDS181; (C) SAGE and GDS596. X-axis represents the number of common tissue types, Y-axis represents the correlation coefficient.
Article Snippet: Microarray data were from
Techniques: Microarray
Journal: Biology Direct
Article Title: Too much data, but little inter-changeability: a lesson learned from mining public data on tissue specificity of gene expression
doi: 10.1186/1745-6150-1-33
Figure Lengend Snippet: The distribution of correlation coefficients across the expression level of genes in SAGE and microarray platforms. X-axis represents the correlation coefficient and Y-axis represents the expression level. (A, B, E) Low, high and average expression levels across the significant correlation from GDS596. (C, D, F) Low, high and average expression levels across the significant correlation from SAGE data. Expression values were log10 transformed.
Article Snippet: Microarray data were from
Techniques: Expressing, Microarray, Transformation Assay
Journal: World Journal of Gastroenterology
Article Title: Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma
doi: 10.3748/wjg.v29.i5.780
Figure Lengend Snippet: Comparisons of real-time quantitative reverse transcription PCR, microarrays, and RNA-sequencing and their applications in hepatocellular carcinoma recurrence
Article Snippet: The surfacing of commercial platforms, such as Human
Techniques: Isolation, cDNA Library Assay, Amplification, Labeling, Fluorescence, Hybridization, Sequencing, High Throughput Screening Assay