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所在平台: Udemy |
课程主页: https://www.udemy.com/course/creating-heatmaps-and-clustering-in-r/
课程评论：没有评论
课程名称：在 R 中创建热图和聚类 课程概述：大家好！我叫马修·切尔哈提博士。我拥有生物信息学博士学位，并在匈牙利塞格德大学获得计算机科学学士学位。我有18年的编程经验，并在PubMed上发表了15篇经过同行评审的论文。目前，我在一家生物技术公司工作，日常工作中需要运用我的生物信息学技能。 在本课程中，学生将学习如何使用聚类方法在数据中发现聚类。学生将能够利用 heatmap 和 pheatmap 命令制作美观的热图。课程将涵盖聚类主题，包括 k-means 聚类、PAM 聚类、轮廓图（silhouette plots）和肘部图（elbow plots）。同时，将提供聚类算法背后的理论基础。此外，还将有多个实践练习，使用真实数据进行操作。课程对 R 编码仅要求基本熟悉。学生制作的图形可用于发表研究，课程中所学的工具对研究者的工具箱将非常有价值。生物、数学、物理、地质和医学等领域的学生均欢迎参加。 如果您有兴趣，也可以查看我在 Udemy 上的其他课程，包括 kraken2 数据库编程和在新冠研究中使用生物信息学工具等课程。祝您愉快，编码顺利！
Greetings everybody! My name is Dr. Matthew Cserhati. I have a PhD in bioinformatics, and also a BSc in computer science from the University of Szeged, Hungary. I have 18 years of programming experience and have 15 peer-reviewed publications in PubMed. I work at a biotech company where I make daily use of my bioinformatics skills.In this course the student will be able to use clustering methods to find clusters in his data. He will also be able to make nice-looking heatmaps using the heatmap and the pheatmap command. Clustering topics such as k-means clustering, PAM clustering, silhouette plots, and elbow plots will be covered. Theoretical background behind the clustering algorithm will be provided. Besides this there will also be multiple practice lessons using real data.Minimal familiarity with R coding is required. The figures you make here can be used for publication purposes. The tools that you learn here can be very valuable in your research toolkit. Students from biology, math, physics, geology, medicine are all welcome.If you are interested, also check out my courses on kraken2 database programming and using bioinformatics tools in covid research, also available here on Udemy.Have a nice day and happy coding!
