Dr. Robert M Flight<p>If you've ever felt like you are in over your head trying to define <a href="https://mastodon.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> linear models for your -omics experiments, this paper does an excellent job of showing the reasoning why the model is defined that way, what contrasts you want to define, and what is actually being tested.</p><p>A guide to creating design matrices for gene expression experiments<br><a href="https://f1000research.com/articles/9-1444/v1" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">f1000research.com/articles/9-1</span><span class="invisible">444/v1</span></a></p><p>These apply to more than just gene expression <a href="https://mastodon.social/tags/transcriptomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>transcriptomics</span></a>. Work for <a href="https://mastodon.social/tags/proteomics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>proteomics</span></a> and <a href="https://mastodon.social/tags/metabolomcs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metabolomcs</span></a> too. 😉</p>