<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Vioxel的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Vioxel</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Vioxel]]></copyright><item><title><![CDATA[step.2获取中药成分后批量转化SMILE]]></title><link>https://blog.youkuaiyun.com/Vioxel/article/details/146209005</link><guid>https://blog.youkuaiyun.com/Vioxel/article/details/146209005</guid><author>Vioxel</author><pubDate>Wed, 12 Mar 2025 16:40:52 +0800</pubDate><description><![CDATA[【代码】step.2获取中药成分后批量转化SMILE。]]></description><category></category></item><item><title><![CDATA[孟德尔分析面对eaf缺失值时]]></title><link>https://blog.youkuaiyun.com/Vioxel/article/details/146208906</link><guid>https://blog.youkuaiyun.com/Vioxel/article/details/146208906</guid><author>Vioxel</author><pubDate>Wed, 12 Mar 2025 16:38:41 +0800</pubDate><description><![CDATA[【代码】孟德尔分析面对eaf缺失值时。]]></description><category></category></item><item><title><![CDATA[Cellchat更新以后的新工作流]]></title><link>https://blog.youkuaiyun.com/Vioxel/article/details/146208437</link><guid>https://blog.youkuaiyun.com/Vioxel/article/details/146208437</guid><author>Vioxel</author><pubDate>Wed, 12 Mar 2025 16:25:51 +0800</pubDate><description><![CDATA[【代码】Cellchat更新以后的新工作流。]]></description><category></category></item><item><title><![CDATA[step1.自动化爬取TCMSP中药成分]]></title><link>https://blog.youkuaiyun.com/Vioxel/article/details/146208282</link><guid>https://blog.youkuaiyun.com/Vioxel/article/details/146208282</guid><author>Vioxel</author><pubDate>Wed, 12 Mar 2025 16:23:35 +0800</pubDate><description><![CDATA[支持动态翻页处理，自动识别页码并循环抓取（如25个靶点自动分3页处理）库处理HTTP请求，]]></description><category></category></item><item><title><![CDATA[【生信学习笔记】非常非常基础的数据类型问题]]></title><link>https://blog.youkuaiyun.com/Vioxel/article/details/127493286</link><guid>https://blog.youkuaiyun.com/Vioxel/article/details/127493286</guid><author>Vioxel</author><pubDate>Mon, 24 Oct 2022 15:22:02 +0800</pubDate><description><![CDATA[先as.data.frame, 直接numeric会将数据降维。#sapply和as.integer用来解决数据类型问题。先来观察一下完整流程。]]></description><category></category></item></channel></rss>