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Genomic Data Visualization and Interpretation Workshop

R is the most widely used open-source statistical and programming environment for the analysis and v Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types.

He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance ANOVA , correlation, and linear and nonlinear regression analyses.

Nonlinear dimensionality reduction methods for synthetic biology biobricks’ visualization

This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R. Dust cover is intact; pages are clean and are.

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