#gsea — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #gsea, aggregated by home.social.
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Looking for advice on FDR thresholds in #GSEA: Do you typically use FDR < 0.25 or FDR < 0.05 to determine significance? How does your threshold choice change depending on permutation_type='phenotype' vs. permutation_type='gene_set'? #bioinformatics #rnaseq
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Looking for advice on FDR thresholds in #GSEA: Do you typically use FDR < 0.25 or FDR < 0.05 to determine significance? How does your threshold choice change depending on permutation_type='phenotype' vs. permutation_type='gene_set'? #bioinformatics #rnaseq
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Looking for advice on FDR thresholds in #GSEA: Do you typically use FDR < 0.25 or FDR < 0.05 to determine significance? How does your threshold choice change depending on permutation_type='phenotype' vs. permutation_type='gene_set'? #bioinformatics #rnaseq
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Looking for advice on FDR thresholds in #GSEA: Do you typically use FDR < 0.25 or FDR < 0.05 to determine significance? How does your threshold choice change depending on permutation_type='phenotype' vs. permutation_type='gene_set'? #bioinformatics #rnaseq
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Looking for advice on FDR thresholds in #GSEA: Do you typically use FDR < 0.25 or FDR < 0.05 to determine significance? How does your threshold choice change depending on permutation_type='phenotype' vs. permutation_type='gene_set'? #bioinformatics #rnaseq
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We have added a list of GSEA (Gene Set Enrichment) tools https://wiki.flybase.org/wiki/FlyBase:Drosophila_Online_Resources#Gene_Set_Enrichment_Analysis and a table summarising the features of some https://wiki.flybase.org/wiki/FlyBase:GSEA to our External Resources page https://wiki.flybase.org/wiki/FlyBase:External_Resources. #FlyBaseExternalResources #GSEA
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We have added a list of GSEA (Gene Set Enrichment) tools https://wiki.flybase.org/wiki/FlyBase:Drosophila_Online_Resources#Gene_Set_Enrichment_Analysis and a table summarising the features of some https://wiki.flybase.org/wiki/FlyBase:GSEA to our External Resources page https://wiki.flybase.org/wiki/FlyBase:External_Resources. #FlyBaseExternalResources #GSEA
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We have added a list of GSEA (Gene Set Enrichment) tools https://wiki.flybase.org/wiki/FlyBase:Drosophila_Online_Resources#Gene_Set_Enrichment_Analysis and a table summarising the features of some https://wiki.flybase.org/wiki/FlyBase:GSEA to our External Resources page https://wiki.flybase.org/wiki/FlyBase:External_Resources. #FlyBaseExternalResources #GSEA
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Another great edition of the #GSEA in R/Bioconductor is going to an end.
Many thanks to Zuguang Gu & all attendees for this very productive week!
#GSEA #Rstats @Bioconductor
#Genomics #Bioinformatics #DataScience -
Another great edition of the #GSEA in R/Bioconductor is going to an end.
Many thanks to Zuguang Gu & all attendees for this very productive week!
#GSEA #Rstats @Bioconductor
#Genomics #Bioinformatics #DataScience -
Another great edition of the #GSEA in R/Bioconductor is going to an end.
Many thanks to Zuguang Gu & all attendees for this very productive week!
#GSEA #Rstats @Bioconductor
#Genomics #Bioinformatics #DataScience -
Another great edition of the #GSEA in R/Bioconductor is going to an end.
Many thanks to Zuguang Gu & all attendees for this very productive week!
#GSEA #Rstats @Bioconductor
#Genomics #Bioinformatics #DataScience -
I haven't heard of sparrow, by @lianos, for #gsea analysis and exploration for results, but it looks useful. In particular because of the sister #shiny package. Must explore further.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
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I haven't heard of sparrow, by @lianos, for #gsea analysis and exploration for results, but it looks useful. In particular because of the sister #shiny package. Must explore further.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
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I haven't heard of sparrow, by @lianos, for #gsea analysis and exploration for results, but it looks useful. In particular because of the sister #shiny package. Must explore further.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
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I haven't heard of sparrow, by @lianos, for #gsea analysis and exploration for results, but it looks useful. In particular because of the sister #shiny package. Must explore further.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
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I haven't heard of sparrow, by @lianos, for #gsea analysis and exploration for results, but it looks useful. In particular because of the sister #shiny package. Must explore further.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
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Interested in Gene Set Enrichment in R? Have a look at our new course with Dr. Zuguang Gu
If interested, please check it out: https://physalia-courses.org/courses-workshops/gse-in-r/
#Rstats #Genomics #bioconductor #DataScience #Bioinformatics #datavisualization #GSEA #CancerGenomics
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Interested in Gene Set Enrichment in R? Have a look at our new course with Dr. Zuguang Gu
If interested, please check it out: https://physalia-courses.org/courses-workshops/gse-in-r/
#Rstats #Genomics #bioconductor #DataScience #Bioinformatics #datavisualization #GSEA #CancerGenomics
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Interested in Gene Set Enrichment in R? Have a look at our new course with Dr. Zuguang Gu
If interested, please check it out: https://physalia-courses.org/courses-workshops/gse-in-r/
#Rstats #Genomics #bioconductor #DataScience #Bioinformatics #datavisualization #GSEA #CancerGenomics
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Interested in Gene Set Enrichment in R? Have a look at our new course with Dr. Zuguang Gu
If interested, please check it out: https://physalia-courses.org/courses-workshops/gse-in-r/
#Rstats #Genomics #bioconductor #DataScience #Bioinformatics #datavisualization #GSEA #CancerGenomics
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Today I learned how to create an interactive HTML report for gene-set enrichment analysis in R. It allows readers to examine set-level results & drill down into the underlying gene-level statistics interactively.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
It's a static HTML page, e.g. no server (#shiny, #dash, etc) needed. Thanks a lot to the authors of the #plotly #reactable #crosstalk and #htmlwidget tools for making this so easy #til #rstats #bioconductor #gsea #compbio #visualization @lianos -
Today I learned how to create an interactive HTML report for gene-set enrichment analysis in R. It allows readers to examine set-level results & drill down into the underlying gene-level statistics interactively.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
It's a static HTML page, e.g. no server (#shiny, #dash, etc) needed. Thanks a lot to the authors of the #plotly #reactable #crosstalk and #htmlwidget tools for making this so easy #til #rstats #bioconductor #gsea #compbio #visualization @lianos -
Today I learned how to create an interactive HTML report for gene-set enrichment analysis in R. It allows readers to examine set-level results & drill down into the underlying gene-level statistics interactively.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
It's a static HTML page, e.g. no server (#shiny, #dash, etc) needed. Thanks a lot to the authors of the #plotly #reactable #crosstalk and #htmlwidget tools for making this so easy #til #rstats #bioconductor #gsea #compbio #visualization @lianos -
Today I learned how to create an interactive HTML report for gene-set enrichment analysis in R. It allows readers to examine set-level results & drill down into the underlying gene-level statistics interactively.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
It's a static HTML page, e.g. no server (#shiny, #dash, etc) needed. Thanks a lot to the authors of the #plotly #reactable #crosstalk and #htmlwidget tools for making this so easy #til #rstats #bioconductor #gsea #compbio #visualization @lianos -
Today I learned how to create an interactive HTML report for gene-set enrichment analysis in R. It allows readers to examine set-level results & drill down into the underlying gene-level statistics interactively.
https://tomsing1.github.io/blog/posts/interactive-gene-set-results/
It's a static HTML page, e.g. no server (#shiny, #dash, etc) needed. Thanks a lot to the authors of the #plotly #reactable #crosstalk and #htmlwidget tools for making this so easy #til #rstats #bioconductor #gsea #compbio #visualization @lianos