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gtex liver rna-seq gene expression data  (Epigenomics ag)

 
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    Epigenomics ag gtex liver rna-seq gene expression data
    Gtex Liver Rna Seq Gene Expression Data, supplied by Epigenomics ag, 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/gtex+liver+rna-seq+gene+expression+data/gtex+liver+rna+seq+gene+expression+data/pmc11705763-131-37-14
    Average 90 stars, based on 1 article reviews
    gtex liver rna-seq gene expression data - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Gene Expression:

    Article Title: Tumor-associated antigen prediction using a single-sample gene expression state inference algorithm
    Article Snippet: By treating activated genes as expressed and inactivated genes as non-expressed, we used the epigenomics-based classifications as a reference standard to evaluate different methods for determining gene expression states in individual samples based on GTEx liver, lung, ovary, and pancreas RNA-seq gene expression data, encompassing 226, 578, 180, and 330 samples, respectively ( ). presents a comparison among our single-sample gene expression state inference algorithm (variable), zFPKM, EnB, and the traditional fixed threshold filtering method (TPM < 1, TPM < 2).

    RNA Sequencing:

    Article Title: Tumor-associated antigen prediction using a single-sample gene expression state inference algorithm
    Article Snippet: By treating activated genes as expressed and inactivated genes as non-expressed, we used the epigenomics-based classifications as a reference standard to evaluate different methods for determining gene expression states in individual samples based on GTEx liver, lung, ovary, and pancreas RNA-seq gene expression data, encompassing 226, 578, 180, and 330 samples, respectively ( ). presents a comparison among our single-sample gene expression state inference algorithm (variable), zFPKM, EnB, and the traditional fixed threshold filtering method (TPM < 1, TPM < 2).

    Comparison:

    Article Title: Tumor-associated antigen prediction using a single-sample gene expression state inference algorithm
    Article Snippet: By treating activated genes as expressed and inactivated genes as non-expressed, we used the epigenomics-based classifications as a reference standard to evaluate different methods for determining gene expression states in individual samples based on GTEx liver, lung, ovary, and pancreas RNA-seq gene expression data, encompassing 226, 578, 180, and 330 samples, respectively ( ). presents a comparison among our single-sample gene expression state inference algorithm (variable), zFPKM, EnB, and the traditional fixed threshold filtering method (TPM < 1, TPM < 2).



    Similar Products

    gtex liver rna-seq gene expression data  (Epigenomics ag)
    90
    Epigenomics ag gtex liver rna-seq gene expression data
    Gtex Liver Rna Seq Gene Expression Data, supplied by Epigenomics ag, 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/gtex+liver+rna-seq+gene+expression+data/gtex+liver+rna+seq+gene+expression+data/pmc11705763-131-37-14
    Average 90 stars, based on 1 article reviews
    gtex liver rna-seq gene expression data - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

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