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INFINIUM Inc rna expression profiling huex microarray
Adrenal vs thoracic tumor copy number association analysis. A) Meta-analysis by nonoverlapping 1-Mb tiles. The y-axis reflects an inverse variance-weighted meta-analysis across four datasets—single nucleotide polymorphism (SNP) <t>microarray,</t> whole genome sequencing, whole exome sequencing, and gene panel sequencing cohorts—of average log-ratio (tumor normalized to normal) differences between adrenal vs thoracic cases divided by SD (z score). A positive z score (red) implies that the relative copy number is higher in adrenal vs thoracic cases and a negative z score (blue) implies the opposite. The inner dashed line illustrates the z score corresponding to a nominal P value cut point of .05, and the outer dotted line illustrates the z score corresponding to a multiple test-adjusted false discovery rate (FDR) cut point of 0.05. The 1-Mb bin containing MYCN is labeled, because it is the only focal copy number alteration to reach statistical significance. B) Meta-analysis by chromosome arm. “Avg Adrenal” and “Avg Thoracic” denote a weighted average copy number log-ratio for adrenal and thoracic cases, respectively. More positive/red values reflect regions of greater copy number gain and more negative/blue values reflect regions of greater copy number loss. From the difference of these values (Avg Difference), a z score and two-tailed P value were computed by inverse-variance meta-analysis. The FDR was controlled by the Benjamini-Hochberg method. Results with multiple test-adjusted statistical significance at FDR less than 0.05 are bolded.
Rna Expression Profiling Huex Microarray, supplied by INFINIUM 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/microarray+expression+profiling+datasets/pmc06855946-178-42-62?v=INFINIUM+Inc
Average 90 stars, based on 1 article reviews
rna expression profiling huex microarray - by Bioz Stars, 2026-08
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Images

1) Product Images from "Differences in Genomic Profiles and Outcomes Between Thoracic and Adrenal Neuroblastoma"

Article Title: Differences in Genomic Profiles and Outcomes Between Thoracic and Adrenal Neuroblastoma

Journal: JNCI Journal of the National Cancer Institute

doi: 10.1093/jnci/djz027

Adrenal vs thoracic tumor copy number association analysis. A) Meta-analysis by nonoverlapping 1-Mb tiles. The y-axis reflects an inverse variance-weighted meta-analysis across four datasets—single nucleotide polymorphism (SNP) microarray, whole genome sequencing, whole exome sequencing, and gene panel sequencing cohorts—of average log-ratio (tumor normalized to normal) differences between adrenal vs thoracic cases divided by SD (z score). A positive z score (red) implies that the relative copy number is higher in adrenal vs thoracic cases and a negative z score (blue) implies the opposite. The inner dashed line illustrates the z score corresponding to a nominal P value cut point of .05, and the outer dotted line illustrates the z score corresponding to a multiple test-adjusted false discovery rate (FDR) cut point of 0.05. The 1-Mb bin containing MYCN is labeled, because it is the only focal copy number alteration to reach statistical significance. B) Meta-analysis by chromosome arm. “Avg Adrenal” and “Avg Thoracic” denote a weighted average copy number log-ratio for adrenal and thoracic cases, respectively. More positive/red values reflect regions of greater copy number gain and more negative/blue values reflect regions of greater copy number loss. From the difference of these values (Avg Difference), a z score and two-tailed P value were computed by inverse-variance meta-analysis. The FDR was controlled by the Benjamini-Hochberg method. Results with multiple test-adjusted statistical significance at FDR less than 0.05 are bolded.
Figure Legend Snippet: Adrenal vs thoracic tumor copy number association analysis. A) Meta-analysis by nonoverlapping 1-Mb tiles. The y-axis reflects an inverse variance-weighted meta-analysis across four datasets—single nucleotide polymorphism (SNP) microarray, whole genome sequencing, whole exome sequencing, and gene panel sequencing cohorts—of average log-ratio (tumor normalized to normal) differences between adrenal vs thoracic cases divided by SD (z score). A positive z score (red) implies that the relative copy number is higher in adrenal vs thoracic cases and a negative z score (blue) implies the opposite. The inner dashed line illustrates the z score corresponding to a nominal P value cut point of .05, and the outer dotted line illustrates the z score corresponding to a multiple test-adjusted false discovery rate (FDR) cut point of 0.05. The 1-Mb bin containing MYCN is labeled, because it is the only focal copy number alteration to reach statistical significance. B) Meta-analysis by chromosome arm. “Avg Adrenal” and “Avg Thoracic” denote a weighted average copy number log-ratio for adrenal and thoracic cases, respectively. More positive/red values reflect regions of greater copy number gain and more negative/blue values reflect regions of greater copy number loss. From the difference of these values (Avg Difference), a z score and two-tailed P value were computed by inverse-variance meta-analysis. The FDR was controlled by the Benjamini-Hochberg method. Results with multiple test-adjusted statistical significance at FDR less than 0.05 are bolded.

Techniques Used: Microarray, Sequencing, Labeling, Two Tailed Test

Unbiased clustering analysis of functional genomic and DNA methylation data in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) cohort. Heatmaps and hierarchical clustering for all adrenal and thoracic (A) HuEx RNA microarray samples and (B) DNA methylation microarray samples. Rows reflect independent patient profiles and columns reflect the 200 probesets with the highest variance after (A) log2 transformation of RNA probe intensity and (B) logit transformation of methylation beta values. Columns are mean-centered and normalized by SD (z score transformation) and illustrated on a blue-yellow scale. Additional colored boxes illustrate clinical annotations for each patient according to the legend (white = missing annotation).
Figure Legend Snippet: Unbiased clustering analysis of functional genomic and DNA methylation data in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) cohort. Heatmaps and hierarchical clustering for all adrenal and thoracic (A) HuEx RNA microarray samples and (B) DNA methylation microarray samples. Rows reflect independent patient profiles and columns reflect the 200 probesets with the highest variance after (A) log2 transformation of RNA probe intensity and (B) logit transformation of methylation beta values. Columns are mean-centered and normalized by SD (z score transformation) and illustrated on a blue-yellow scale. Additional colored boxes illustrate clinical annotations for each patient according to the legend (white = missing annotation).

Techniques Used: Functional Assay, DNA Methylation Assay, Microarray, Transformation Assay, Methylation



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Image Search Results


Information of  gene-expression profile datasets  associated with GBM.

Journal: Scientific Reports

Article Title: Discovery of key molecular signatures for diagnosis and therapies of glioblastoma by combining supervised and unsupervised learning approaches

doi: 10.1038/s41598-024-79391-2

Figure Lengend Snippet: Information of gene-expression profile datasets associated with GBM.

Article Snippet: Total 10 microarray gene-expression profile datasets that contained GBM and control samples, were downloaded from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database to explore GBM-causing key genes.

Techniques: Control

Study design flowchart. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure. DEcircRNAs, differentially expressed circRNAs; DEmiRNAs, differentially expressed miRNAs; DEmRNAs, differentially expressed mRNAs

Journal: BMC Medical Genomics

Article Title: Comprehensive analysis of circRNA-miRNA-mRNA network related to angiogenesis in recurrent implantation failure

doi: 10.1186/s12920-024-01944-1

Figure Lengend Snippet: Study design flowchart. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure. DEcircRNAs, differentially expressed circRNAs; DEmiRNAs, differentially expressed miRNAs; DEmRNAs, differentially expressed mRNAs

Article Snippet: CircRNA, miRNA and mRNA microarray expression profile datasets were selected from the National Center of Biotechnology Information Gene Expression Omnibus (NCBI) GEO ( https://www.ncbi.nlm.nih.gov/geo/ ).

Techniques:

Boxplots, volcano plots and Venn diagram of mRNAs for GSE103465. (A) Boxplot of GSE103465. (B) Volcano plots of DEmRNAs based on GSE103465. (C) Venn diagram of mRNAs for GeneCards and GSE103465, where the intersection section is predicted DEmRNAs asscociated with angiogenesis in RIF. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Journal: BMC Medical Genomics

Article Title: Comprehensive analysis of circRNA-miRNA-mRNA network related to angiogenesis in recurrent implantation failure

doi: 10.1186/s12920-024-01944-1

Figure Lengend Snippet: Boxplots, volcano plots and Venn diagram of mRNAs for GSE103465. (A) Boxplot of GSE103465. (B) Volcano plots of DEmRNAs based on GSE103465. (C) Venn diagram of mRNAs for GeneCards and GSE103465, where the intersection section is predicted DEmRNAs asscociated with angiogenesis in RIF. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Article Snippet: CircRNA, miRNA and mRNA microarray expression profile datasets were selected from the National Center of Biotechnology Information Gene Expression Omnibus (NCBI) GEO ( https://www.ncbi.nlm.nih.gov/geo/ ).

Techniques:

Boxplots, volcano plots and Venn diagram of miRNAs for GSE121219. (A) Boxplot of GSE121219. (B) Volcano plots of DEmiRNAs based on GSE121219. (C) Venn diagram of miRNAs for miRDIP and GSE121219, where the intersection section is predicted DEmiRNAs asscociated with angiogenesis in RIF. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Journal: BMC Medical Genomics

Article Title: Comprehensive analysis of circRNA-miRNA-mRNA network related to angiogenesis in recurrent implantation failure

doi: 10.1186/s12920-024-01944-1

Figure Lengend Snippet: Boxplots, volcano plots and Venn diagram of miRNAs for GSE121219. (A) Boxplot of GSE121219. (B) Volcano plots of DEmiRNAs based on GSE121219. (C) Venn diagram of miRNAs for miRDIP and GSE121219, where the intersection section is predicted DEmiRNAs asscociated with angiogenesis in RIF. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Article Snippet: CircRNA, miRNA and mRNA microarray expression profile datasets were selected from the National Center of Biotechnology Information Gene Expression Omnibus (NCBI) GEO ( https://www.ncbi.nlm.nih.gov/geo/ ).

Techniques:

Boxplots, volcano plots and Venn diagram of circRNAs for GSE147442. (A) Boxplot of GSE147442 after standardization. (B) Volcano plots of DEcircRNAs based on GSE147442. (C) Venn diagram of miRNAs for starBase 2.0 and GSE147442, where the intersection section is predicted DEcircRNAs asscociated with angiogenesis in RIF. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Journal: BMC Medical Genomics

Article Title: Comprehensive analysis of circRNA-miRNA-mRNA network related to angiogenesis in recurrent implantation failure

doi: 10.1186/s12920-024-01944-1

Figure Lengend Snippet: Boxplots, volcano plots and Venn diagram of circRNAs for GSE147442. (A) Boxplot of GSE147442 after standardization. (B) Volcano plots of DEcircRNAs based on GSE147442. (C) Venn diagram of miRNAs for starBase 2.0 and GSE147442, where the intersection section is predicted DEcircRNAs asscociated with angiogenesis in RIF. circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Article Snippet: CircRNA, miRNA and mRNA microarray expression profile datasets were selected from the National Center of Biotechnology Information Gene Expression Omnibus (NCBI) GEO ( https://www.ncbi.nlm.nih.gov/geo/ ).

Techniques:

Figure 5 CircRNA-miRNA-mRNA regulatory network, which consists of 8 DEcircRNAs, 10 DEmiRNAs and 45 DERNAs. DEcircRNA, differentially expressed circular RNA; DEmiRNA, differentially expressed micro RNA; DERNA, differentially expressed RNA. Arrow-shape nodes: circRNAs, triangle nodes: miRNAs, ellipse-shaped nodes: mRNAs

Journal: BMC Medical Genomics

Article Title: Comprehensive analysis of circRNA-miRNA-mRNA network related to angiogenesis in recurrent implantation failure

doi: 10.1186/s12920-024-01944-1

Figure Lengend Snippet: Figure 5 CircRNA-miRNA-mRNA regulatory network, which consists of 8 DEcircRNAs, 10 DEmiRNAs and 45 DERNAs. DEcircRNA, differentially expressed circular RNA; DEmiRNA, differentially expressed micro RNA; DERNA, differentially expressed RNA. Arrow-shape nodes: circRNAs, triangle nodes: miRNAs, ellipse-shaped nodes: mRNAs

Article Snippet: CircRNA, miRNA and mRNA microarray expression profile datasets were selected from the National Center of Biotechnology Information Gene Expression Omnibus (NCBI) GEO ( https://www.ncbi.nlm.nih.gov/geo/ ).

Techniques:

A PPI network and circRNA–miRNA–hub gene regulatory subnetwork. (A) A PPI network of the fifty-five target genes associated with angiogenesis in RIF. (B) Six hub genes extracted by cytoHubba plug-in. (C) CircRNA–miRNA–hub gene regulatory subnetwork, consisting of 3 circRNAs, 3 miRNAs, and 3 mRNAs. PPI, protein–protein interaction; circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Journal: BMC Medical Genomics

Article Title: Comprehensive analysis of circRNA-miRNA-mRNA network related to angiogenesis in recurrent implantation failure

doi: 10.1186/s12920-024-01944-1

Figure Lengend Snippet: A PPI network and circRNA–miRNA–hub gene regulatory subnetwork. (A) A PPI network of the fifty-five target genes associated with angiogenesis in RIF. (B) Six hub genes extracted by cytoHubba plug-in. (C) CircRNA–miRNA–hub gene regulatory subnetwork, consisting of 3 circRNAs, 3 miRNAs, and 3 mRNAs. PPI, protein–protein interaction; circRNA, circular RNA; miRNA, microRNA; RIF, recurrent implantation failure

Article Snippet: CircRNA, miRNA and mRNA microarray expression profile datasets were selected from the National Center of Biotechnology Information Gene Expression Omnibus (NCBI) GEO ( https://www.ncbi.nlm.nih.gov/geo/ ).

Techniques: