microarray data transcriptome expression Search Results


microarray gene expression transcriptome datasets  (Illumina Inc)
90
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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transcriptomic data microarray/tcga  (Integrative Bioinformatics)
90
Integrative Bioinformatics transcriptomic data microarray/tcga
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.
Transcriptomic Data Microarray/Tcga, supplied by Integrative Bioinformatics, 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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transcriptome microarrays illumina mouse wg-6 v2 whole-genome expression beadchips  (Illumina Inc)
90
Illumina Inc transcriptome microarrays illumina mouse wg-6 v2 whole-genome expression beadchips
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.
Transcriptome Microarrays Illumina Mouse Wg 6 V2 Whole Genome Expression 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
https://www.bioz.com/result/transcriptome microarrays illumina mouse wg-6 v2 whole-genome expression beadchips/product/Illumina Inc
Average 90 stars, based on 1 article reviews
transcriptome microarrays illumina mouse wg-6 v2 whole-genome expression beadchips - by Bioz Stars, 2026-04
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ffpe microarray full-transcriptome microarray data  (Agendia BV)
90
Agendia BV ffpe microarray full-transcriptome microarray data
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.
Ffpe Microarray Full Transcriptome Microarray Data, 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
https://www.bioz.com/result/ffpe microarray full-transcriptome microarray data/product/Agendia BV
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ffpe microarray full-transcriptome microarray data - by Bioz Stars, 2026-04
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full-transcriptome microarray formaldehyde fixed-paraffin embedded (ffpe) data  (Agendia BV)
90
Agendia BV full-transcriptome microarray formaldehyde fixed-paraffin embedded (ffpe) data
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.
Full Transcriptome Microarray Formaldehyde Fixed Paraffin Embedded (Ffpe) Data, 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
https://www.bioz.com/result/full-transcriptome microarray formaldehyde fixed-paraffin embedded (ffpe) data/product/Agendia BV
Average 90 stars, based on 1 article reviews
full-transcriptome microarray formaldehyde fixed-paraffin embedded (ffpe) data - by Bioz Stars, 2026-04
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normalized whole transcriptome microarray expression data  (Veracyte Inc)
90
Veracyte Inc normalized whole transcriptome microarray expression data
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.
Normalized Whole Transcriptome Microarray Expression Data, supplied by Veracyte 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/result/normalized whole transcriptome microarray expression data/product/Veracyte Inc
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normalized whole transcriptome microarray expression data - by Bioz Stars, 2026-04
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whole transcriptome microarray data  (Biotechnology Information)
90
Biotechnology Information whole transcriptome microarray data
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 Transcriptome Microarray Data, 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
https://www.bioz.com/result/whole transcriptome microarray data/product/Biotechnology Information
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whole transcriptome microarray data - by Bioz Stars, 2026-04
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microarray transcriptomic data selventa knowledge base  (Selventa Inc)
90
Selventa Inc microarray transcriptomic data selventa knowledge base
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 Transcriptomic Data Selventa Knowledge Base, supplied by Selventa 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/result/microarray transcriptomic data selventa knowledge base/product/Selventa Inc
Average 90 stars, based on 1 article reviews
microarray transcriptomic data selventa knowledge base - by Bioz Stars, 2026-04
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lymphoblastoid cell line microarray transcriptome data  (Illumina Inc)
90
Illumina Inc lymphoblastoid cell line microarray transcriptome data
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.
Lymphoblastoid Cell Line Microarray Transcriptome Data, 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
https://www.bioz.com/result/lymphoblastoid cell line microarray transcriptome data/product/Illumina Inc
Average 90 stars, based on 1 article reviews
lymphoblastoid cell line microarray transcriptome data - by Bioz Stars, 2026-04
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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