R语言生信数据分析及可视化作图（网络）研讨会4月线上班_证书认证_门票优惠

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href="/tag/33347/">生信分析</a>及作图的数据库database、在线工具web-service、软件software有很多，其中R软件是一种适应性最广、上手最快的工具。可能有的人会有疑问，R语言是一种编程语言，我没有任何计算机的基础也适合使用R吗？答案是可以的。原因是R软件做分析及作图，都有比较现成的R包及代码。比如转录组分析相关的R包及代码，可以用来做差异分析、火山图、热图、PCA图、WGCNA等。比如单细胞测序数据分析相关的R包及代码，可以用来做细胞分型及聚类。还有RNA甲基化分析相关的、蛋白组代谢组相关的、临床统计分析相关的R包及代码。零基础的是怎么快速掌握呢？以一个做热图的代码为例子，虽然每个人的数据是不同的，但是只要拿到了做热图的代码，我们就可以只是简单的修改其中几个参数，就可以轻松作出热图！我们只需要记住那几个关键参数的含义及修改即可，而且，代码中还有详细的中文注释！ <img alt="R语言生信数据分析及可视化作图（网络）研讨会4月线上班" data-cke-saved-src="http://pic.huodongjia.com/event/2024-03-13/1710300320.84.jpg" src="http://pic.huodongjia.com/event/2024-03-13/1710300320.84.jpg"/>当然，如果是我们自学就要花费更多的时间了。所以，我们开设了这次R语言实操班。可以通过老师系统的整理各个方向的生信代码及实操，在短短的两天一晚时间系统的掌握R分析的各种实操有很多学员也参加过医药加的其他培训班，比如单细胞、比如RNA甲基化、TCGA、多组学、非编码RNA等，它们也有一些R的操作及代码。我们这次也会系统性的对这些班中的R代码进行教学演练，希望大家带着问题解决问题。专家简介：宋博士成果：参与完成了近百篇软件著作权和发明专利的撰写和申请；肺癌、胰腺癌、骨肉瘤、胃癌等数据库的分析和构建；完成个体基因检测流程和无创唐筛流程的开发。研究方向：有近十年的生信分析经验，擅长方向有转录组测序分析、芯片数据分析、疾病机理研究分析、疾病预后与基因关联分析、项目分析思路设计以及个性化分析等，精通perl、R等编程语言。 会议预期：通过2天1晚的学习的手把手教学让学员掌握R软件下载安装、Rstudio用法、R语言常用作图、R语言数据处理方法与编程技术、掌握R语言自主学习实践的方法与技巧，现场解答学员在实际工作中遇到的有关技术问题，让学员更好地掌握相关技术的应用。另外，课后学员有感兴趣的图片，老师也可以提供相应的R代码。总体思路是根据生信相关的SCI热点文章为主题，完成里面相关的分析及作图。该培训适用于对生信分析或者医学统计学分析感兴趣，编程零基础及以上的学员参加。 会议详细日程 <table border="1" cellspacing="0" style="border-collapse:collapse; border:solid windowtext 1.0pt; margin-left:0.0"><tbody><tr><td colspan="3" style="width:426.1pt">R语言生信数据分析及可视化作图日程</td></tr><tr><td colspan="2" style="width:150.4pt">课程</td><td style="width:275.7pt">主 要 内容</td></tr><tr><td rowspan="7" style="width:24.85pt">第一天上午</td><td rowspan="7" style="width:125.55pt">R语言——编程环境、数据结构、语法和练习</td><td style="width:275.7pt">R软件的历史、简介、优缺点</td></tr><tr><td style="width:275.7pt">R编程形式与资源</td></tr><tr><td style="width:275.7pt">R软件的安装</td></tr><tr><td style="width:275.7pt">Rstudio使用技巧及安装</td></tr><tr><td style="width:275.7pt">R语言的数据结构（元素、向量、矩阵）</td></tr><tr><td style="width:275.7pt">R语言的编程方法</td></tr><tr><td style="width:275.7pt">一起练——R语言的编程练习</td></tr><tr><td rowspan="8" style="width:24.85pt">第一天下午</td><td rowspan="4" style="width:125.55pt">生信参考文献解读</td><td style="width:275.7pt">生信文献的流程解读</td></tr><tr><td style="width:275.7pt">常用的生信分析流程</td></tr><tr><td style="width:275.7pt">流程模块使用的R包及函数简介</td></tr><tr><td style="width:275.7pt">案例展示</td></tr><tr><td rowspan="4" style="width:125.55pt">常用R函数</td><td style="width:275.7pt">统计编程思想与流程</td></tr><tr><td style="width:275.7pt">数据描述性分析R实现</td></tr><tr><td style="width:275.7pt">统计分析R实现</td></tr><tr><td style="width:275.7pt">实战操作演练——卡方检验、回归分析、方差分析、Fisher精确检验、相关性分析等</td></tr><tr><td rowspan="5" style="width:24.85pt">第一天晚上</td><td rowspan="5" style="width:125.55pt">常用R包（1）转录组、蛋白组、表观组、代谢组等不同组学数据差异基因筛选及可视化</td><td style="width:275.7pt">R包的介绍——r-project 来源及 Bioconductor 来源</td></tr><tr><td style="width:275.7pt">R包的安装——在线安装及本地安装方法</td></tr><tr><td style="width:275.7pt">芯片数据预处理——标准化，归一化</td></tr><tr><td style="width:275.7pt">差异分析——差异基因筛选，火山图</td></tr><tr><td style="width:275.7pt">无监督聚类分析——PCA分析，聚类热图分析</td></tr><tr><td rowspan="5" style="width:24.85pt">第二天上午</td><td rowspan="5" style="width:125.55pt">常用R 包（2）基因、蛋白相关分析</td><td style="width:275.7pt">R语言功能富集分析，包括KEGG pathway，以及GO BP, CC, MF分析，功能条形图，功能气泡图可视化</td></tr><tr><td style="width:275.7pt">共表达分析——pearson法，相关性散点图</td></tr><tr><td style="width:275.7pt">生存预后分析——KM曲线图，添加p值，HR值</td></tr><tr><td style="width:275.7pt">样本相关性及相关性热图分析</td></tr><tr><td style="width:275.7pt">实操</td></tr><tr><td rowspan="8" style="width:24.85pt">第二天下午</td><td rowspan="4" style="width:125.55pt">常用R包（3）常见思路</td><td style="width:275.7pt">单细胞测序相关分析</td></tr><tr><td style="width:275.7pt">RNA甲基化相关分析</td></tr><tr><td style="width:275.7pt">时间序列分析——多组连续样本的基因表达聚类</td></tr><tr><td style="width:275.7pt">实操</td></tr><tr><td rowspan="4" style="width:125.55pt">R语言学习的方法与技巧</td><td style="width:275.7pt">算法思想、R包及函数用法、参数说明、范例程序</td></tr><tr><td style="width:275.7pt">如何找到有用的R资源</td></tr><tr><td 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for(var i=0;i<data.length;i++){ _html+='<li class=""><div class="img">'+ '<a target="_blank" href="/event-'+data[i].event_id+'.html"><img width="100%" height="132px" src="https://pic.huodongjia.com/'+data[i].event_img[0].urls+'" alt="'+data[i].event_name+'"></a></div>'+ '<div class="info"><a target="_blank" href="/event-'+data[i].event_id+'.html">'+data[i].event_name+'</a>'+ ''+data[i].event_begin_time+'  <a target="_blank" href="'+data[i].event_city_info[0].title+'">'+data[i].event_city_info[0].district_name+'</a>'+data[i].event_favor_count+'人已收藏</div></li>' } $('.ul_2').html(_html) }) } function position_3(){ $.get('/change_recommend_event/?event_id=1846758837&position=3',{},function(res){ var _html='',data=res.recommend_events; for(var i=0;i<data.length;i++){ _html+='<li class=""><div class="img">'+ '<a target="_blank" href="/event-'+data[i].event_id+'.html"><img width="100%" height="132px" src="https://pic.huodongjia.com/'+data[i].event_img[0].urls+'" alt="'+data[i].event_name+'"></a></div>'+ '<div class="info"><a target="_blank" href="/event-'+data[i].event_id+'.html">'+data[i].event_name+'</a>'+ ''+data[i].event_begin_time+'  <a target="_blank" href="'+data[i].event_city_info[0].title+'">'+data[i].event_city_info[0].district_name+'</a></div></li>' } $('.ul_3').html(_html) }) } $('.expired_title span').click(function(){ var id=$(this).attr('data-id'),index=$(this).index(); 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