gene expression microarray Search Results


genesquare multiple assay dna microarray drug metabolism gene expression for rat  (Kurabo industries)
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gene expression microarray  (Arraystar inc)
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Arraystar inc gene expression microarray
Gene Expression Microarray, supplied by Arraystar 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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gene expression profiles microarray gse65409  (Illumina Inc)
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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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gene expression microarray experiments  (DNA Chip Research Inc)
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DNA Chip Research Inc gene expression microarray experiments
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sureprint g3 human gene expression 8x60k v2 microarray kit  (Macrogen)
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Macrogen sureprint g3 human gene expression 8x60k v2 microarray kit
Sureprint G3 Human Gene Expression 8x60k V2 Microarray Kit, supplied by Macrogen, 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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gene expression microarray data gse14001  (Biotechnology Information)
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Biotechnology Information gene expression microarray data gse14001
Heat map of the 103 DEGs identified in the integrated <t>microarray</t> analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.
Gene Expression Microarray Data Gse14001, 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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genome-wide microarray gene expression data  (GenomeDx Inc)
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GenomeDx Inc genome-wide microarray gene expression data
Heat map of the 103 DEGs identified in the integrated <t>microarray</t> analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.
Genome Wide Microarray Gene Expression Data, supplied by GenomeDx 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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gene expression microarray gem  (Incyte corporation)
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Incyte corporation gene expression microarray gem
Heat map of the 103 DEGs identified in the integrated <t>microarray</t> analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.
Gene Expression Microarray Gem, supplied by Incyte 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 gene expression transcriptome datasets  (Illumina Inc)
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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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gene expression lab  (Rosetta Inpharmatics)
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Rosetta Inpharmatics gene expression lab
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 Lab, 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
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microarray gene expression profiling  (Giner Inc)
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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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whole-genome mouse gene expression arrays (one-dye oligonucleotide microarrays) illumina beadarray  (Illumina Inc)
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Illumina Inc whole-genome mouse gene expression arrays (one-dye oligonucleotide microarrays) illumina beadarray
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.
Whole Genome Mouse Gene Expression Arrays (One Dye Oligonucleotide Microarrays) Illumina Beadarray, 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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Image Search Results


Heat map of the 103 DEGs identified in the integrated microarray analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.

Journal: OncoTargets and therapy

Article Title: Integrated Analysis To Identify Molecular Biomarkers Of High-Grade Serous Ovarian Cancer

doi: 10.2147/OTT.S228678

Figure Lengend Snippet: Heat map of the 103 DEGs identified in the integrated microarray analysis. Each column represents one dataset, and each row represents one gene. The number in each rectangle is the log 2 FC value. The color gradient from blue to red represents the progression from down- to upregulation. Abbreviations: DEGs, differentially expressed genes; FC, fold change.

Article Snippet: Gene expression microarray data (GSE14001, GSE18520, GSE26712, GSE27651, GSE40595, and GSE54388) were downloaded from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) database ( http://www.ncbi.nlm.nih.gov/geo/ ).

Techniques: Microarray

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