rna-seq data analyses Search Results


transcriptomic analyses of rnaseq data  (Human Protein Atlas)
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Human Protein Atlas transcriptomic analyses of rnaseq data
Quantitative transcript levels in human cancer biopsies, calculated as “fragments per kilobase of exon per million reads mapped” (FPKM). Data from the <t>RNAseq</t> <t>transcriptomic</t> database (Human Protein Atlas, https://www.proteinatlas.org ), summarized by AQP class, are shown as box plots for six cancer types ( A – F , as indicated). Boxes show 50% of data points; error bars show the full range; horizontal bars show median values. Median transcript levels are average FPMK values for all classes of AQPs (1–11) within each cancer type. * p < 0.05 as compared with the median values (Mann Whitney U-test); NS is not significant.
Transcriptomic Analyses Of Rnaseq 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 for all medicago truncatula mrnas detected in root and nodule analyses  (Medicago)
90
Medicago rna-seq data for all medicago truncatula mrnas detected in root and nodule analyses
Quantitative transcript levels in human cancer biopsies, calculated as “fragments per kilobase of exon per million reads mapped” (FPKM). Data from the <t>RNAseq</t> <t>transcriptomic</t> database (Human Protein Atlas, https://www.proteinatlas.org ), summarized by AQP class, are shown as box plots for six cancer types ( A – F , as indicated). Boxes show 50% of data points; error bars show the full range; horizontal bars show median values. Median transcript levels are average FPMK values for all classes of AQPs (1–11) within each cancer type. * p < 0.05 as compared with the median values (Mann Whitney U-test); NS is not significant.
Rna Seq Data For All Medicago Truncatula Mrnas Detected In Root And Nodule Analyses, supplied by Medicago, 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/rna-seq data for all medicago truncatula mrnas detected in root and nodule analyses/product/Medicago
Average 90 stars, based on 1 article reviews
rna-seq data for all medicago truncatula mrnas detected in root and nodule analyses - by Bioz Stars, 2026-04
90/100 stars
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Quantitative transcript levels in human cancer biopsies, calculated as “fragments per kilobase of exon per million reads mapped” (FPKM). Data from the RNAseq transcriptomic database (Human Protein Atlas, https://www.proteinatlas.org ), summarized by AQP class, are shown as box plots for six cancer types ( A – F , as indicated). Boxes show 50% of data points; error bars show the full range; horizontal bars show median values. Median transcript levels are average FPMK values for all classes of AQPs (1–11) within each cancer type. * p < 0.05 as compared with the median values (Mann Whitney U-test); NS is not significant.

Journal: Cancers

Article Title: Combined Systematic Review and Transcriptomic Analyses of Mammalian Aquaporin Classes 1 to 10 as Biomarkers and Prognostic Indicators in Diverse Cancers

doi: 10.3390/cancers12071911

Figure Lengend Snippet: Quantitative transcript levels in human cancer biopsies, calculated as “fragments per kilobase of exon per million reads mapped” (FPKM). Data from the RNAseq transcriptomic database (Human Protein Atlas, https://www.proteinatlas.org ), summarized by AQP class, are shown as box plots for six cancer types ( A – F , as indicated). Boxes show 50% of data points; error bars show the full range; horizontal bars show median values. Median transcript levels are average FPMK values for all classes of AQPs (1–11) within each cancer type. * p < 0.05 as compared with the median values (Mann Whitney U-test); NS is not significant.

Article Snippet: Patterns of AQP expression and survival rates for patients were evaluated by systematic review (PubMed and Embase) and transcriptomic analyses of RNAseq data (Human Protein Atlas database).

Techniques: MANN-WHITNEY