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His research involves the development of a protein-ligand docking software based on a novel approach, where he combines the fields of machine learning, pattern recognition, and data mining. In his free time, Sebastian works on web development and uses JavaScript among other technologies to develop web applications that are used by Bioinformaticians and Computational Biologists. Additional information Publisher Packt Publishing.

Content protection This content is DRM protected. Additional terms Terms of transaction. Ratings and reviews No one's rated or reviewed this product yet. To rate and review, sign in. Sebastian Raschka June What do I get with a Packt subscription?

How to create Next-Generation Clustered Heat Maps in R-Studio

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Instant Heat Maps in R How-to

Book Description R has grown rapidly over the years to become one of the most versatile and valuable tools for data analysis and graphing. Table of Contents Chapter 1: Reading data from different file formats Intermediate. Drawing choropleth maps and contour plots Intermediate. What You Will Learn Use different heat map functions in R Customize the layout of your heat maps Read the data and apply it to the heat map Export your heat maps into high-quality picture formats Display geographical data on choropleth maps and contour plots Add interactive hover effects to your heat maps.

Bioinformatics with R Cookbook.

Instant Heat Maps in R: How-To

Data Manipulation with R - Second Edition. Android Development with Kotlin. E-learning with Camtasia Studio. View our Cookie Policy. We understand your time is important. Uniquely amongst the major publishers, we seek to develop and publish the broadest range of learning and information products on each technology. Every Packt product delivers a specific learning pathway, broadly defined by the Series type.

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Heat Maps in R: How-to is an easy to understand book that starts with a simple heat map and takes you all the way through to advanced heat maps with graphics and data manipulation. How-to is the book for you if you want to make use of this free an Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. How-to is the book for you if you want to make use of this free and open source software to get the most out of your data analysis.

You need to have at least some experience in using R and know how to run basic scripts from the command line. You need not be from a statistics background. Paperback , 1 , 72 pages. Published June 21st by Packt Publishing first published January 1st To see what your friends thought of this book, please sign up. To ask other readers questions about Instant Heat Maps in R , please sign up.

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