Daniel E. Weeks<p>STATGEN 2024 talk<br>Statistical Methods for Single-Cell RNA-Seq Analysis and Spatial Transcriptomics<br>Rafael Irizarry</p><p>tSNE and UMAP plots:<br>"They really aren't informative, but they are really pretty."</p><p>Negative control scRNAseq data set: the percent of zeros is very high, and contributes strongly to the first PCA. tSNE plot 'discovers' new cells.</p><p>Transformed to log2(1 + CPM): looks zero-inflated.</p><p>Raw counts: Poisson</p><p>1/</p><p><a href="https://fediscience.org/tags/Genetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Genetics</span></a> <a href="https://fediscience.org/tags/STATGEN2024" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>STATGEN2024</span></a> <a href="https://fediscience.org/tags/StatisticalGenetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StatisticalGenetics</span></a> <a href="https://fediscience.org/tags/RNAseq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RNAseq</span></a> <a href="https://fediscience.org/tags/Transcriptomics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Transcriptomics</span></a></p>