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Expand Up @@ -198,8 +198,8 @@ dec.zeisel.qc[c(1,500,1000,2000),1:6]
## <numeric> <numeric> <numeric> <numeric> <numeric> <numeric>
## Plp1 3.97379 16.80426 0.275699 16.528564 0.00000e+00 0.00000e+00
## Shfm1 2.64467 1.55363 0.534672 1.018959 5.54040e-47 2.04392e-45
## Cdc42 3.34431 1.04001 0.385442 0.654563 9.97095e-38 2.96240e-36
## Vdac2 1.81697 1.08138 0.720031 0.361348 7.90102e-05 2.55550e-04
## Cdc42 3.34431 1.04001 0.385442 0.654563 9.97095e-38 2.96239e-36
## Vdac2 1.81697 1.08138 0.720031 0.361348 7.90101e-05 2.55550e-04
```

In this dataframe, the `bio` column represents the excess variation in gene expression (that is, the difference between the observed and expected expression). We are looking at four different genes - the gene with the greatest excess variation, as well as the last genes included in the top 500, top 1000, and top 2000 genes.
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## &lt;numeric&gt; &lt;numeric&gt; &lt;numeric&gt; &lt;numeric&gt; &lt;numeric&gt; &lt;numeric&gt;
## Plp1 3.97379 16.80426 0.275699 16.528564 0.00000e+00 0.00000e+00
## Shfm1 2.64467 1.55363 0.534672 1.018959 5.54040e-47 2.04392e-45
## Cdc42 3.34431 1.04001 0.385442 0.654563 9.97095e-38 2.96240e-36
## Vdac2 1.81697 1.08138 0.720031 0.361348 7.90102e-05 2.55550e-04</code></pre>
## Cdc42 3.34431 1.04001 0.385442 0.654563 9.97095e-38 2.96239e-36
## Vdac2 1.81697 1.08138 0.720031 0.361348 7.90101e-05 2.55550e-04</code></pre>
<p>In this dataframe, the <code>bio</code> column represents the excess variation in gene expression (that is, the difference between the observed and expected expression). We are looking at four different genes - the gene with the greatest excess variation, as well as the last genes included in the top 500, top 1000, and top 2000 genes.</p>
<div class="reflection">
<p>QUESTIONS</p>
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</div>
<div id="header">
<h1 class="title">Statistics for Genomics: scRNAseq</h1>
<p class="date"><em>March 22, 2023</em></p>
<p class="date"><em>May 25, 2023</em></p>
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---
title: "Statistics for Genomics: scRNAseq"
date: "March 22, 2023"
date: "May 25, 2023"
site: bookdown::bookdown_site
documentclass: book
bibliography: book.bib
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This exercise is part of a collection of teaching resources developed through the *Genomic Data Science Community Network* (GDSCN). GDSCN works towards a vision where researchers, educators, and students from diverse backgrounds are able to fully participate in genomic data science research. Learn more about GDSCN by visiting https://www.gdscn.org/home or reading the [article in Genome Research](https://doi.org/10.1101/gr.276496.121).

Please check out our full collection of AnVIL and related resources: https://hutchdatascience.org/AnVIL_Collection/

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