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]]></description><link>http://an.forum.genostack.com/topic/1090/细胞类型注释</link><generator>RSS for Node</generator><lastBuildDate>Sat, 13 Jun 2026 12:34:59 GMT</lastBuildDate><atom:link href="http://an.forum.genostack.com/topic/1090.rss" rel="self" type="application/rss+xml"/><pubDate>Fri, 30 Aug 2024 07:59:44 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to 细胞类型注释 on Thu, 12 Sep 2024 08:20:18 GMT]]></title><description><![CDATA[<p dir="auto"><a href="https://www.sciencedirect.com/science/article/pii/S2215016123001966" rel="nofollow ugc">https://www.sciencedirect.com/science/article/pii/S2215016123001966</a><br />
Negative markers combined with positive markers can increase the specificity of cell type identification, reducing the likelihood of misclassification and improving the overall accuracy of the analysis<br />
[3]<br />
. By default, the signature genes are expected to be highly expressed in one cell type compared to all other cell types. However, depending on the underlying data, these canonical markers may not be enough to segregate cell types with similar expression profiles (e.g., sub-groups of T-cells in the human blood). When this occurs, genes that are expected not to be detected in a specific cell type (e.g., CD8A in CD4 T cells) can be utilized to improve segregation. Therefore, genes that are characteristically lowly expressed in one cell type compared to the other cell types are introduced as the “negative markers”.</p>
]]></description><link>http://an.forum.genostack.com/post/2721</link><guid isPermaLink="true">http://an.forum.genostack.com/post/2721</guid><dc:creator><![CDATA[anneng]]></dc:creator><pubDate>Thu, 12 Sep 2024 08:20:18 GMT</pubDate></item></channel></rss>