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You're reading from  R Bioinformatics Cookbook - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781837634279
Edition2nd Edition
Concepts
Bioinformatics
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Author (1)
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.
Read more about Dan MacLean

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Performing power analysis with powsimR

Statistical power analysis is used to determine the sample size needed to detect an effect of a certain size with a certain level of statistical significance. This is important because it allows researchers to ensure that their studies are adequately powered (that is, enough replicates have been sampled) to detect the effects that they are interested in. Without sufficient power, there is a higher risk of failing to reject the null hypothesis when it is false – that is, to miss important differentially expressed genes. In this recipe, we’ll use the powsimR package (which is not in Bioconductor) to perform two types of power analysis. Both of these will be performed with a small real dataset. First, we shall do power analysis with two treatments, test and control, and then with just one. With each, we shall estimate the replicates that are needed to spot differences in gene expression of a particular magnitude – if they’...

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R Bioinformatics Cookbook - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781837634279
© 2023 Packt Publishing Limited All Rights Reserved

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

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