microarray gene-expression profile datasets Search Results


90
Illumina Inc gene expression profiles microarray gse65409
Gene Expression Profiles Microarray Gse65409, 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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Illumina Inc microarray gene expression transcriptome datasets
Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main <t>microarray</t> platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.
Microarray Gene Expression Transcriptome Datasets, 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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Giner Inc microarray gene expression profiling
Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main <t>microarray</t> platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.
Microarray Gene Expression Profiling, supplied by Giner 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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Illumina Inc gene expression profiles in formalin-fixed, paraffinembedded tissues obtained with a novel assay for microarray analysis
Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main <t>microarray</t> platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.
Gene Expression Profiles In Formalin Fixed, Paraffinembedded Tissues Obtained With A Novel Assay For Microarray Analysis, 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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SuperArray Bioscience Corporation gene expression cdna microarrays for profiling genes involved in tgf-b (#mm-023)
Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main <t>microarray</t> platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.
Gene Expression Cdna Microarrays For Profiling Genes Involved In Tgf B (#Mm 023), supplied by SuperArray Bioscience 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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Biotechnology Information gene expression microarray dataset gse103611
Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main <t>microarray</t> platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.
Gene Expression Microarray Dataset Gse103611, 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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HEALTH Gene Technologies Co microarray gene expression dataset gse72810
Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main <t>microarray</t> platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.
Microarray Gene Expression Dataset Gse72810, supplied by HEALTH Gene Technologies Co, 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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Genechem microarray analysis of msc gene expression profile
<t>Microarray</t> analysis of differentially expressed genes in MSCs during endothelial differentiation. In EC-MSC coculture system, there MSC samples for each group were collected at days 0 and 7, respectively, and sent to microarray analysis of differentially expressed genes. The inclusion criteria for differentially expressed genes were the absolute fold change of RNA levels > 1.5 and P value < 0.05. The analysis yielded 2482 (999 upregulated and 1483 downregulated) genes in MSC-H cells and 1325 (671 upregulated and 654 downregulated) genes in MSC-C cells. These genes were enriched in GO terms ( a ) and KEGG pathways analysis ( b ). The enriched terms that were present in both MSC-C and MSC-H groups were marked by asterisks. The MSC-H cells yielded a cluster of the most enriched terms with high similarity to MSC-C cells. Approximately one-half of the most enriched GO terms and pathways were consistent between them. Nevertheless, multiple pathways were noteworthy of being exclusively enriched in MSC-H cells, including MAPK and p53 signaling. c The number of differentially expressed genes (significance genes) enriched in the shared GO terms was counted and compared between groups. MSC-H cells yielded 1.7-fold (ranged from 1.5 to 1.9-fold) greater number of significance genes than MSC-C cells on average. d The number of differentially expressed genes (significance genes) enriched in the shared signaling pathways was counted and compared between groups. Similarly, MSC-H cells had an average 1.4-fold (ranged from 1.3 to 1.8-fold) increase of significance gene counts than the MSC-H cells
Microarray Analysis Of Msc Gene Expression Profile, supplied by Genechem, 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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Illumina Inc microarray gene expression profiling humanht-12 beadchips
<t>Microarray</t> analysis of differentially expressed genes in MSCs during endothelial differentiation. In EC-MSC coculture system, there MSC samples for each group were collected at days 0 and 7, respectively, and sent to microarray analysis of differentially expressed genes. The inclusion criteria for differentially expressed genes were the absolute fold change of RNA levels > 1.5 and P value < 0.05. The analysis yielded 2482 (999 upregulated and 1483 downregulated) genes in MSC-H cells and 1325 (671 upregulated and 654 downregulated) genes in MSC-C cells. These genes were enriched in GO terms ( a ) and KEGG pathways analysis ( b ). The enriched terms that were present in both MSC-C and MSC-H groups were marked by asterisks. The MSC-H cells yielded a cluster of the most enriched terms with high similarity to MSC-C cells. Approximately one-half of the most enriched GO terms and pathways were consistent between them. Nevertheless, multiple pathways were noteworthy of being exclusively enriched in MSC-H cells, including MAPK and p53 signaling. c The number of differentially expressed genes (significance genes) enriched in the shared GO terms was counted and compared between groups. MSC-H cells yielded 1.7-fold (ranged from 1.5 to 1.9-fold) greater number of significance genes than MSC-C cells on average. d The number of differentially expressed genes (significance genes) enriched in the shared signaling pathways was counted and compared between groups. Similarly, MSC-H cells had an average 1.4-fold (ranged from 1.3 to 1.8-fold) increase of significance gene counts than the MSC-H cells
Microarray Gene Expression Profiling Humanht 12 Beadchips, 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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Hielscher Ultrasonics gene expression microarray dataset
<t>Microarray</t> analysis of differentially expressed genes in MSCs during endothelial differentiation. In EC-MSC coculture system, there MSC samples for each group were collected at days 0 and 7, respectively, and sent to microarray analysis of differentially expressed genes. The inclusion criteria for differentially expressed genes were the absolute fold change of RNA levels > 1.5 and P value < 0.05. The analysis yielded 2482 (999 upregulated and 1483 downregulated) genes in MSC-H cells and 1325 (671 upregulated and 654 downregulated) genes in MSC-C cells. These genes were enriched in GO terms ( a ) and KEGG pathways analysis ( b ). The enriched terms that were present in both MSC-C and MSC-H groups were marked by asterisks. The MSC-H cells yielded a cluster of the most enriched terms with high similarity to MSC-C cells. Approximately one-half of the most enriched GO terms and pathways were consistent between them. Nevertheless, multiple pathways were noteworthy of being exclusively enriched in MSC-H cells, including MAPK and p53 signaling. c The number of differentially expressed genes (significance genes) enriched in the shared GO terms was counted and compared between groups. MSC-H cells yielded 1.7-fold (ranged from 1.5 to 1.9-fold) greater number of significance genes than MSC-C cells on average. d The number of differentially expressed genes (significance genes) enriched in the shared signaling pathways was counted and compared between groups. Similarly, MSC-H cells had an average 1.4-fold (ranged from 1.3 to 1.8-fold) increase of significance gene counts than the MSC-H cells
Gene Expression Microarray Dataset, supplied by Hielscher Ultrasonics, 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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Illumina Inc hiseq microarray gene expression dataset gse51684
<t>Microarray</t> analysis of differentially expressed genes in MSCs during endothelial differentiation. In EC-MSC coculture system, there MSC samples for each group were collected at days 0 and 7, respectively, and sent to microarray analysis of differentially expressed genes. The inclusion criteria for differentially expressed genes were the absolute fold change of RNA levels > 1.5 and P value < 0.05. The analysis yielded 2482 (999 upregulated and 1483 downregulated) genes in MSC-H cells and 1325 (671 upregulated and 654 downregulated) genes in MSC-C cells. These genes were enriched in GO terms ( a ) and KEGG pathways analysis ( b ). The enriched terms that were present in both MSC-C and MSC-H groups were marked by asterisks. The MSC-H cells yielded a cluster of the most enriched terms with high similarity to MSC-C cells. Approximately one-half of the most enriched GO terms and pathways were consistent between them. Nevertheless, multiple pathways were noteworthy of being exclusively enriched in MSC-H cells, including MAPK and p53 signaling. c The number of differentially expressed genes (significance genes) enriched in the shared GO terms was counted and compared between groups. MSC-H cells yielded 1.7-fold (ranged from 1.5 to 1.9-fold) greater number of significance genes than MSC-C cells on average. d The number of differentially expressed genes (significance genes) enriched in the shared signaling pathways was counted and compared between groups. Similarly, MSC-H cells had an average 1.4-fold (ranged from 1.3 to 1.8-fold) increase of significance gene counts than the MSC-H cells
Hiseq Microarray Gene Expression Dataset Gse51684, 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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Agendia BV genomics platform for tumor gene expression profiling and microarray assay tests
<t>Microarray</t> analysis of differentially expressed genes in MSCs during endothelial differentiation. In EC-MSC coculture system, there MSC samples for each group were collected at days 0 and 7, respectively, and sent to microarray analysis of differentially expressed genes. The inclusion criteria for differentially expressed genes were the absolute fold change of RNA levels > 1.5 and P value < 0.05. The analysis yielded 2482 (999 upregulated and 1483 downregulated) genes in MSC-H cells and 1325 (671 upregulated and 654 downregulated) genes in MSC-C cells. These genes were enriched in GO terms ( a ) and KEGG pathways analysis ( b ). The enriched terms that were present in both MSC-C and MSC-H groups were marked by asterisks. The MSC-H cells yielded a cluster of the most enriched terms with high similarity to MSC-C cells. Approximately one-half of the most enriched GO terms and pathways were consistent between them. Nevertheless, multiple pathways were noteworthy of being exclusively enriched in MSC-H cells, including MAPK and p53 signaling. c The number of differentially expressed genes (significance genes) enriched in the shared GO terms was counted and compared between groups. MSC-H cells yielded 1.7-fold (ranged from 1.5 to 1.9-fold) greater number of significance genes than MSC-C cells on average. d The number of differentially expressed genes (significance genes) enriched in the shared signaling pathways was counted and compared between groups. Similarly, MSC-H cells had an average 1.4-fold (ranged from 1.3 to 1.8-fold) increase of significance gene counts than the MSC-H cells
Genomics Platform For Tumor Gene Expression Profiling And Microarray Assay Tests, supplied by Agendia BV, 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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Image Search Results


Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main microarray platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.

Journal: MethodsX

Article Title: Detection of key mRNAs in liver tissue of hepatocellular carcinoma patients based on machine learning and bioinformatics analysis

doi: 10.1016/j.mex.2023.102021

Figure Lengend Snippet: Three-step identification of HCC potential biomarkers. First, DEGs using non-fusion integrative method detected. Based on ComBat approach, the batch effect between data from two main microarray platforms (Affymetrix and Illumina), removed. Second, to deal with a more in-depth analysis of HCC expression datasets to identify potential diagnosis and prognosis biomarkers, classification methods and biomarker recognition conducted. Third, to evaluate the diagnostic performance in classifying HCC from normal, the risk score model was developed, and to assess the prognostic value of gene biomarkers, Kaplan–Meier (KM) survival analysis performed.

Article Snippet: In this investigation, which was based on the Illumina and Affymetrix platforms, seven microarray gene expression transcriptome datasets were considered.

Techniques: Microarray, Expressing, Biomarker Discovery, Diagnostic Assay

Microarray analysis of differentially expressed genes in MSCs during endothelial differentiation. In EC-MSC coculture system, there MSC samples for each group were collected at days 0 and 7, respectively, and sent to microarray analysis of differentially expressed genes. The inclusion criteria for differentially expressed genes were the absolute fold change of RNA levels > 1.5 and P value < 0.05. The analysis yielded 2482 (999 upregulated and 1483 downregulated) genes in MSC-H cells and 1325 (671 upregulated and 654 downregulated) genes in MSC-C cells. These genes were enriched in GO terms ( a ) and KEGG pathways analysis ( b ). The enriched terms that were present in both MSC-C and MSC-H groups were marked by asterisks. The MSC-H cells yielded a cluster of the most enriched terms with high similarity to MSC-C cells. Approximately one-half of the most enriched GO terms and pathways were consistent between them. Nevertheless, multiple pathways were noteworthy of being exclusively enriched in MSC-H cells, including MAPK and p53 signaling. c The number of differentially expressed genes (significance genes) enriched in the shared GO terms was counted and compared between groups. MSC-H cells yielded 1.7-fold (ranged from 1.5 to 1.9-fold) greater number of significance genes than MSC-C cells on average. d The number of differentially expressed genes (significance genes) enriched in the shared signaling pathways was counted and compared between groups. Similarly, MSC-H cells had an average 1.4-fold (ranged from 1.3 to 1.8-fold) increase of significance gene counts than the MSC-H cells

Journal: Stem Cell Research & Therapy

Article Title: HMGB1-modified mesenchymal stem cells attenuate radiation-induced vascular injury possibly via their high motility and facilitation of endothelial differentiation

doi: 10.1186/s13287-019-1197-x

Figure Lengend Snippet: Microarray analysis of differentially expressed genes in MSCs during endothelial differentiation. In EC-MSC coculture system, there MSC samples for each group were collected at days 0 and 7, respectively, and sent to microarray analysis of differentially expressed genes. The inclusion criteria for differentially expressed genes were the absolute fold change of RNA levels > 1.5 and P value < 0.05. The analysis yielded 2482 (999 upregulated and 1483 downregulated) genes in MSC-H cells and 1325 (671 upregulated and 654 downregulated) genes in MSC-C cells. These genes were enriched in GO terms ( a ) and KEGG pathways analysis ( b ). The enriched terms that were present in both MSC-C and MSC-H groups were marked by asterisks. The MSC-H cells yielded a cluster of the most enriched terms with high similarity to MSC-C cells. Approximately one-half of the most enriched GO terms and pathways were consistent between them. Nevertheless, multiple pathways were noteworthy of being exclusively enriched in MSC-H cells, including MAPK and p53 signaling. c The number of differentially expressed genes (significance genes) enriched in the shared GO terms was counted and compared between groups. MSC-H cells yielded 1.7-fold (ranged from 1.5 to 1.9-fold) greater number of significance genes than MSC-C cells on average. d The number of differentially expressed genes (significance genes) enriched in the shared signaling pathways was counted and compared between groups. Similarly, MSC-H cells had an average 1.4-fold (ranged from 1.3 to 1.8-fold) increase of significance gene counts than the MSC-H cells

Article Snippet: Microarray analysis of MSC gene expression profile was performed by GeneChem (Shanghai, China).

Techniques: Microarray, Protein-Protein interactions