microarray data sets Search Results


breast cancer microarray data sets  (SLIT2 LTD)
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SLIT2 LTD breast cancer microarray data sets
Breast Cancer Microarray Data Sets, supplied by SLIT2 LTD, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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data sets from different microarray platforms  (Illumina Inc)
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Illumina Inc data sets from different microarray platforms
3DPCA of merged samples from Inflating and Exhausted models' data sets following batch effects removal between different <t>microarray</t> platforms (spheres: Affymetrix, Exhaustion study, tetrahedron: Illumina, Inflation study). The plot is showing overall distribution of Naive (green), Non-Inflating and Non-exhausting (blue), and Inflating and Exhausting (red) samples using the total common set of expressed genes (~14,000).
Data Sets From Different Microarray Platforms, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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raw microarray data sets  (Bioscientifica Ltd)
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Bioscientifica Ltd raw microarray data sets
3DPCA of merged samples from Inflating and Exhausted models' data sets following batch effects removal between different <t>microarray</t> platforms (spheres: Affymetrix, Exhaustion study, tetrahedron: Illumina, Inflation study). The plot is showing overall distribution of Naive (green), Non-Inflating and Non-exhausting (blue), and Inflating and Exhausting (red) samples using the total common set of expressed genes (~14,000).
Raw Microarray Data Sets, supplied by Bioscientifica Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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raw microarray data sets - by Bioz Stars, 2026-04
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microarray data sets gc27729  (Novartis)
90
Novartis microarray data sets gc27729
3DPCA of merged samples from Inflating and Exhausted models' data sets following batch effects removal between different <t>microarray</t> platforms (spheres: Affymetrix, Exhaustion study, tetrahedron: Illumina, Inflation study). The plot is showing overall distribution of Naive (green), Non-Inflating and Non-exhausting (blue), and Inflating and Exhausting (red) samples using the total common set of expressed genes (~14,000).
Microarray Data Sets Gc27729, supplied by Novartis, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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microarray data sets gse76297 and gse132305  (Biotechnology Information)
90
Biotechnology Information microarray data sets gse76297 and gse132305
The expression of BLM in the external data sets of GSE76297 and <t>GSE132305,</t> the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.
Microarray Data Sets Gse76297 And Gse132305, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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hcc microarray data sets capitalbio mammalian mirna array services v1[1].0  (CapitalBio Corporation)
90
CapitalBio Corporation hcc microarray data sets capitalbio mammalian mirna array services v1[1].0
The expression of BLM in the external data sets of GSE76297 and <t>GSE132305,</t> the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.
Hcc Microarray Data Sets Capitalbio Mammalian Mirna Array Services V1[1].0, supplied by CapitalBio Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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microarray data sets of fluorescence-activated cell sorting (facs)-purified b-cells  (Musashi Engineering Inc)
90
Musashi Engineering Inc microarray data sets of fluorescence-activated cell sorting (facs)-purified b-cells
The expression of BLM in the external data sets of GSE76297 and <t>GSE132305,</t> the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.
Microarray Data Sets Of Fluorescence Activated Cell Sorting (Facs) Purified B Cells, supplied by Musashi Engineering Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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microarray data sets  (Informa UK Limited)
90
Informa UK Limited microarray data sets
The expression of BLM in the external data sets of GSE76297 and <t>GSE132305,</t> the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.
Microarray Data Sets, supplied by Informa UK Limited, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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microarray data sets - by Bioz Stars, 2026-04
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microarray data sets  (Mager Scientific)
90
Mager Scientific microarray data sets
The expression of BLM in the external data sets of GSE76297 and <t>GSE132305,</t> the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.
Microarray Data Sets, supplied by Mager Scientific, 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/microarray data sets/product/Mager Scientific
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microarray data sets - by Bioz Stars, 2026-04
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microarray data sets  (PhotoDisc Inc)
90
PhotoDisc Inc microarray data sets
The expression of BLM in the external data sets of GSE76297 and <t>GSE132305,</t> the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.
Microarray Data Sets, supplied by PhotoDisc Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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microarray data sets - by Bioz Stars, 2026-04
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Image Search Results


3DPCA of merged samples from Inflating and Exhausted models' data sets following batch effects removal between different microarray platforms (spheres: Affymetrix, Exhaustion study, tetrahedron: Illumina, Inflation study). The plot is showing overall distribution of Naive (green), Non-Inflating and Non-exhausting (blue), and Inflating and Exhausting (red) samples using the total common set of expressed genes (~14,000).

Journal: Frontiers in Immunology

Article Title: Inflation vs. Exhaustion of Antiviral CD8+ T-Cell Populations in Persistent Infections: Two Sides of the Same Coin?

doi: 10.3389/fimmu.2019.00197

Figure Lengend Snippet: 3DPCA of merged samples from Inflating and Exhausted models' data sets following batch effects removal between different microarray platforms (spheres: Affymetrix, Exhaustion study, tetrahedron: Illumina, Inflation study). The plot is showing overall distribution of Naive (green), Non-Inflating and Non-exhausting (blue), and Inflating and Exhausting (red) samples using the total common set of expressed genes (~14,000).

Article Snippet: The merging of data sets from different microarray platforms (Illumina, Affymetrix) is summarized in the following steps: Weighted Correlation Network Analysis [WGCNA, ( )] was executed using R package WGCNA ( ) on a subset of highly variable genes (IQR > 0.5, 2231 features).

Techniques: Microarray

The expression of BLM in the external data sets of GSE76297 and GSE132305, the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.

Journal: Frontiers in Oncology

Article Title: High BLM Expression Predicts Poor Clinical Outcome and Contributes to Malignant Progression in Human Cholangiocarcinoma

doi: 10.3389/fonc.2021.633899

Figure Lengend Snippet: The expression of BLM in the external data sets of GSE76297 and GSE132305, the methylation level of BLM, the value of BLM in the diagnosis and prediction of recurrence, and gene set enrichment analysis (GSEA). (A) BLM gene expression differences between iCCA and adjacent non-tumor tissues of the iCCA data set GSE76297. (B) BLM gene expression differences between eCCA and adjacent non-tumor tissues of the eCCA data set GSE132305. ROC curves and AUC statistics were used to assess the capacity of BLM for CCA diagnosis (C) and to distinguish recurrent and non-recurrent CCA (D) . (E) The methylation levels of BLM in CCA and paracarcinoma tissue were examined by using DiseaseMeth 2.0. (F) The methylation sites of BLM and its associations with gene expression were visualized by using MEXPRESS. (G) GSEA using the TCGA-CHOL data set and statistically 9 significant functional gene sets enriched in CCA samples with high BLM expression were listed. iCCA, intrahepatic cholangiocarcinoma; eCCA, extrahepatic cholangiocarcinoma; ROC, receiver operating characteristic; AUC, area under the curve.

Article Snippet: The microarray data sets GSE76297 and GSE132305 were acquired from the gene expression omnibus (GEO) database of the National Center for Biotechnology Information (NCBI) database ( https://www.ncbi.nlm.nih.gov/ ).

Techniques: Expressing, Methylation, Biomarker Discovery, Gene Expression, Functional Assay