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Update introduction vignette and zzz.R file
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R/zzz.R

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@@ -23,4 +23,4 @@ if(getRversion() >= "4.0.0" && as.numeric(rv$`svn rev`) >= 77889) {
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unitType = get("unitType", envir = asNamespace("grid"))
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} else {
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unitType = function(x, recurse = TRUE) attr(x, "unit")
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}
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}

vignettes/introduction.Rmd

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@@ -8,18 +8,14 @@ output:
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toc_float: true
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bibliography: references.bib
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link-citations: true
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abstract: >
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Tidybulk is a comprehensive R package for modular transcriptomic data analysis that brings transcriptomics
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to the tidyverse. It provides a unified interface for data transformation, normalization, filtering,
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dimensionality reduction, clustering, differential analysis, cellularity analysis, and gene enrichment
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with seamless integration of SummarizedExperiment objects and tidyverse principles.
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keywords: "transcriptomics, RNA-seq, differential expression, data analysis, tidyverse, SummarizedExperiment,
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bioinformatics, genomics, gene expression, clustering, dimensionality reduction, cellularity analysis,
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gene enrichment, R package"
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vignette: >
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%\VignetteEngine{knitr::knitr}
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%\VignetteIndexEntry{Overview of the tidybulk package}
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%\usepackage[UTF-8]{inputenc}
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%\VignetteEngine{knitr::rmarkdown}
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%\VignetteEncoding{UTF-8}
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---
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<!-- badges: start -->
@@ -142,7 +138,6 @@ library(magrittr)
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library(forcats)
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library(ggplot2)
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library(ggrepel)
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library(tidybulk)
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library(SummarizedExperiment)
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library(tidybulk)
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@@ -193,6 +188,8 @@ airway <-
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multiVals = "first"
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))
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detach("package:org.Hs.eg.db", unload = TRUE)
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detach("package:AnnotationDbi", unload = TRUE)
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```
@@ -270,7 +267,7 @@ airway_abundant_cpm = airway |> keep_abundant(minimum_count_per_million = 10, m
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#### Compare methods
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```{r filtering-summary-statistics, fig.width = 10, fig.height = 10}
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```{r filtering-summary-statistics, fig.width = 10, fig.height = 10, warning = FALSE}
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# Example: summary for default tidybulk filtering
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# Before filtering
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airway |> summarise(

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