liver rna-seq expression data Search Results


liver rnaseq array data  (Biotechnology Information)
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Biotechnology Information liver rnaseq array data
Liver Rnaseq Array 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
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liver rna-seq data  (Jackson Laboratory)
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Jackson Laboratory liver rna-seq data
Liver Rna Seq Data, supplied by Jackson Laboratory, 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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rna-seq data of different human liver cancer cell lines  (Broad Institute Inc)
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Broad Institute Inc rna-seq data of different human liver cancer cell lines
Rna Seq Data Of Different Human Liver Cancer Cell Lines, supplied by Broad Institute 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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liver rna-seq expression data  (Human Protein Atlas)
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Human Protein Atlas liver rna-seq expression data
Liver Rna Seq Expression Data, supplied by Human Protein Atlas, 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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rna-seq data of the hesc liver, lung, and pancreatic cells/organoids  (Illumina Inc)
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Illumina Inc rna-seq data of the hesc liver, lung, and pancreatic cells/organoids
Rna Seq Data Of The Hesc Liver, Lung, And Pancreatic Cells/Organoids, 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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rna-seq data from ilumina body map (adipose, adrenal, brain, colon, heart, kidney, liver, lung, ovary and testis)  (Illumina Inc)
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Illumina Inc rna-seq data from ilumina body map (adipose, adrenal, brain, colon, heart, kidney, liver, lung, ovary and testis)
a , Principal component analysis (PCA) was performed for <t>RNA-seq</t> data for 10 human and mouse matching tissues. The expression values are normalized across the entire data set. Solid squares denote human tissues. Open squares denote mouse tissues. Each category of tissue is represented by a different colour. b , Gene expression variance decomposition (see Methods) estimates the relative contribution of tissue and species to the observed variance in gene expression for each orthologous human–mouse gene pair. Green dots indicate genes with higher between-tissue contribution and red dots genes with higher between-species contributions. c , Neighbourhood analysis of conserved co-expression (NACC) in human and mouse samples. The distribution of NACC scores for each gene is shown. d , A scatter plot shows the average of NACC score over the set of genes in each functional gene ontology category. Highlighted are those biological processes that tend to be more conserved between human and mouse and those processes that have been less conserved (see for list of genes).
Rna Seq Data From Ilumina Body Map (Adipose, Adrenal, Brain, Colon, Heart, Kidney, Liver, Lung, Ovary And Testis), 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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rna-seq data from ilumina body map (adipose, adrenal, brain, colon, heart, kidney, liver, lung, ovary and testis) - by Bioz Stars, 2026-03
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human liver rna-seq gene expression  (Kaggle Inc)
90
Kaggle Inc human liver rna-seq gene expression
a , Principal component analysis (PCA) was performed for <t>RNA-seq</t> data for 10 human and mouse matching tissues. The expression values are normalized across the entire data set. Solid squares denote human tissues. Open squares denote mouse tissues. Each category of tissue is represented by a different colour. b , Gene expression variance decomposition (see Methods) estimates the relative contribution of tissue and species to the observed variance in gene expression for each orthologous human–mouse gene pair. Green dots indicate genes with higher between-tissue contribution and red dots genes with higher between-species contributions. c , Neighbourhood analysis of conserved co-expression (NACC) in human and mouse samples. The distribution of NACC scores for each gene is shown. d , A scatter plot shows the average of NACC score over the set of genes in each functional gene ontology category. Highlighted are those biological processes that tend to be more conserved between human and mouse and those processes that have been less conserved (see for list of genes).
Human Liver Rna Seq Gene Expression, supplied by Kaggle 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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gtex liver rna-seq gene expression data  (Epigenomics ag)
90
Epigenomics ag gtex liver rna-seq gene expression data
a , Principal component analysis (PCA) was performed for <t>RNA-seq</t> data for 10 human and mouse matching tissues. The expression values are normalized across the entire data set. Solid squares denote human tissues. Open squares denote mouse tissues. Each category of tissue is represented by a different colour. b , Gene expression variance decomposition (see Methods) estimates the relative contribution of tissue and species to the observed variance in gene expression for each orthologous human–mouse gene pair. Green dots indicate genes with higher between-tissue contribution and red dots genes with higher between-species contributions. c , Neighbourhood analysis of conserved co-expression (NACC) in human and mouse samples. The distribution of NACC scores for each gene is shown. d , A scatter plot shows the average of NACC score over the set of genes in each functional gene ontology category. Highlighted are those biological processes that tend to be more conserved between human and mouse and those processes that have been less conserved (see for list of genes).
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
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liver rna-seq data  (Biotechnology Information)
90
Biotechnology Information liver rna-seq data
a , Principal component analysis (PCA) was performed for <t>RNA-seq</t> data for 10 human and mouse matching tissues. The expression values are normalized across the entire data set. Solid squares denote human tissues. Open squares denote mouse tissues. Each category of tissue is represented by a different colour. b , Gene expression variance decomposition (see Methods) estimates the relative contribution of tissue and species to the observed variance in gene expression for each orthologous human–mouse gene pair. Green dots indicate genes with higher between-tissue contribution and red dots genes with higher between-species contributions. c , Neighbourhood analysis of conserved co-expression (NACC) in human and mouse samples. The distribution of NACC scores for each gene is shown. d , A scatter plot shows the average of NACC score over the set of genes in each functional gene ontology category. Highlighted are those biological processes that tend to be more conserved between human and mouse and those processes that have been less conserved (see for list of genes).
Liver Rna Seq 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
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rna-seq data from mouse livers  (Biotechnology Information)
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Biotechnology Information rna-seq data from mouse livers
a , Principal component analysis (PCA) was performed for <t>RNA-seq</t> data for 10 human and mouse matching tissues. The expression values are normalized across the entire data set. Solid squares denote human tissues. Open squares denote mouse tissues. Each category of tissue is represented by a different colour. b , Gene expression variance decomposition (see Methods) estimates the relative contribution of tissue and species to the observed variance in gene expression for each orthologous human–mouse gene pair. Green dots indicate genes with higher between-tissue contribution and red dots genes with higher between-species contributions. c , Neighbourhood analysis of conserved co-expression (NACC) in human and mouse samples. The distribution of NACC scores for each gene is shown. d , A scatter plot shows the average of NACC score over the set of genes in each functional gene ontology category. Highlighted are those biological processes that tend to be more conserved between human and mouse and those processes that have been less conserved (see for list of genes).
Rna Seq Data From Mouse Livers, 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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Image Search Results


a , Principal component analysis (PCA) was performed for RNA-seq data for 10 human and mouse matching tissues. The expression values are normalized across the entire data set. Solid squares denote human tissues. Open squares denote mouse tissues. Each category of tissue is represented by a different colour. b , Gene expression variance decomposition (see Methods) estimates the relative contribution of tissue and species to the observed variance in gene expression for each orthologous human–mouse gene pair. Green dots indicate genes with higher between-tissue contribution and red dots genes with higher between-species contributions. c , Neighbourhood analysis of conserved co-expression (NACC) in human and mouse samples. The distribution of NACC scores for each gene is shown. d , A scatter plot shows the average of NACC score over the set of genes in each functional gene ontology category. Highlighted are those biological processes that tend to be more conserved between human and mouse and those processes that have been less conserved (see for list of genes).

Journal: Nature

Article Title: A comparative encyclopedia of DNA elements in the mouse genome

doi: 10.1038/nature13992

Figure Lengend Snippet: a , Principal component analysis (PCA) was performed for RNA-seq data for 10 human and mouse matching tissues. The expression values are normalized across the entire data set. Solid squares denote human tissues. Open squares denote mouse tissues. Each category of tissue is represented by a different colour. b , Gene expression variance decomposition (see Methods) estimates the relative contribution of tissue and species to the observed variance in gene expression for each orthologous human–mouse gene pair. Green dots indicate genes with higher between-tissue contribution and red dots genes with higher between-species contributions. c , Neighbourhood analysis of conserved co-expression (NACC) in human and mouse samples. The distribution of NACC scores for each gene is shown. d , A scatter plot shows the average of NACC score over the set of genes in each functional gene ontology category. Highlighted are those biological processes that tend to be more conserved between human and mouse and those processes that have been less conserved (see for list of genes).

Article Snippet: Extended Data Figure 1 Clustering analysis of human and mouse tissue samples. a , RNA-seq data from Ilumina Body Map (adipose, adrenal, brain, colon, heart, kidney, liver, lung, ovary and testis) were analysed together with that from the matched mouse samples using clustering analysis.

Techniques: RNA Sequencing Assay, Expressing, Functional Assay

a , RNA-seq data from Ilumina Body Map (adipose, adrenal, brain, colon, heart, kidney, liver, lung, ovary and testis) were analysed together with that from the matched mouse samples using clustering analysis. Genes with high variance across tissues were used, resulting in cell samples clustering by tissues, not by species. b , Clustering employing genes with high variance between species shows clustering by species instead of tissues. c , Principal Component Analysis (PCA) was performed for RNA-seq data for 10 human and mouse matching tissues. The expression values are normalized within each species and we observed the clustering of samples by tissue types.

Journal: Nature

Article Title: A comparative encyclopedia of DNA elements in the mouse genome

doi: 10.1038/nature13992

Figure Lengend Snippet: a , RNA-seq data from Ilumina Body Map (adipose, adrenal, brain, colon, heart, kidney, liver, lung, ovary and testis) were analysed together with that from the matched mouse samples using clustering analysis. Genes with high variance across tissues were used, resulting in cell samples clustering by tissues, not by species. b , Clustering employing genes with high variance between species shows clustering by species instead of tissues. c , Principal Component Analysis (PCA) was performed for RNA-seq data for 10 human and mouse matching tissues. The expression values are normalized within each species and we observed the clustering of samples by tissue types.

Article Snippet: Extended Data Figure 1 Clustering analysis of human and mouse tissue samples. a , RNA-seq data from Ilumina Body Map (adipose, adrenal, brain, colon, heart, kidney, liver, lung, ovary and testis) were analysed together with that from the matched mouse samples using clustering analysis.

Techniques: RNA Sequencing Assay, Expressing