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You're reading from  R Bioinformatics Cookbook - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781837634279
Edition2nd Edition
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Dan MacLean
Dan MacLean
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Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
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Using a linear model and ANOVA to compare multiple groups in a single variable

ANOVA is a statistical method used to test whether there is a significant difference between two or more groups. ANOVA compares the variance within groups to the variance between groups to determine if there is a statistically significant difference in the means of the groups. ANOVA is commonly used in experiments where a response variable is measured across several groups under different experimental conditions.

ANOVA can be used to compare gene expression levels across multiple samples under different experimental conditions, the response variable is the gene expression level, and the categorical variable is the experimental condition. ANOVA can also be used in clinical trials to compare the effectiveness of different treatments or interventions for a disease or medical condition.

Linear models can be used to perform ANOVA by fitting a linear model to the data with a categorical variable that represents...

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R Bioinformatics Cookbook - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781837634279

Author (1)

author image
Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
Read more about Dan MacLean