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gene expression and statistical analysis  (RStudio)

 
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    RStudio gene expression and statistical analysis
    Gene Expression And Statistical Analysis, supplied by RStudio, 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/gene+expression+and+statistical+analysis/gene+expression+and+statistical+analysis/pmc06325298-55-1-9
    Average 90 stars, based on 1 article reviews
    gene expression and statistical analysis - by Bioz Stars, 2026-11
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    Article Title: microRNA-22 promotes megakaryocyte differentiation through repression of its target, GFI1
    Article Snippet: 49 Gene expression and statistical analysis were conducted in R Studio (DESeq2).



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    Image Search Results


    Gene Ontology (GO) functional analysis of differentially expressed genes (DEGs) for ( A ) 0 vs. 4 d ( B ) 0 vs. 7 d, and ( C ) 4 vs. 7 d. “*” indicates a significant enrichment of the GO term or KEGG pathway ( p -value ≤ 0.05).

    Journal: International Journal of Environmental Research and Public Health

    Article Title: Identifying Algicides of Enterobacter hormaechei F2 for Control of the Harmful Alga Microcystis aeruginosa

    doi: 10.3390/ijerph19137556

    Figure Lengend Snippet: Gene Ontology (GO) functional analysis of differentially expressed genes (DEGs) for ( A ) 0 vs. 4 d ( B ) 0 vs. 7 d, and ( C ) 4 vs. 7 d. “*” indicates a significant enrichment of the GO term or KEGG pathway ( p -value ≤ 0.05).

    Article Snippet: Figure S1: Statistical analysis of differentially expressed genes (DEGs), Figure S2: Statistical analysis of differentially expressed genes (DEGs) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional analysis of DEGs, Figure S3: Algicidal activity of phenazine, Table S1: A Differentially expressed genes between 0 and 4 d, Table S2: Primers used in the study.

    Techniques: Functional Assay

    In silico expression analysis of Unigenes. ( a ) DEGs in leaves, ( b ) in roots under control and stress conditions. The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using Bowtie2 and abundance was calculated using RSEM. DEGs were identified using the Empirical Analysis of Digital Gene Expression (edgeR) statistical package. The heat maps were generated using MeV v 4.8.1, and indicate the relative transcript level of genes. Detailed information about the DEGs is provided in Supplementary table .

    Journal: Scientific Reports

    Article Title: De-novo transcriptome analysis unveils differentially expressed genes regulating drought and salt stress response in Panicum sumatrense

    doi: 10.1038/s41598-020-78118-3

    Figure Lengend Snippet: In silico expression analysis of Unigenes. ( a ) DEGs in leaves, ( b ) in roots under control and stress conditions. The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using Bowtie2 and abundance was calculated using RSEM. DEGs were identified using the Empirical Analysis of Digital Gene Expression (edgeR) statistical package. The heat maps were generated using MeV v 4.8.1, and indicate the relative transcript level of genes. Detailed information about the DEGs is provided in Supplementary table .

    Article Snippet: Differentially expressed genes (DEGs) among the treated and control libraries were calculated by using the Empirical Analysis of Digital Gene Expression (edgeR) ( http://biocon-ductor.org/packages/ release/ bioc/ html/edgeR.html) statistical package.

    Techniques: In Silico, Expressing, Control, Gene Expression, Generated