Introduction to bioinformatics with R : a practical guide for biologists / Edward Curry.

By: Material type: TextTextSeries: Chapman & Hall/CRC mathematical and computational biologyPublication details: India. CRC Press. C2020.Edition: First editionDescription: 1 online resource 20CMISBN:
  • 978138495715
  • 978138495715
  • 978138495715
Subject(s): Additional physical formats: Print version:: Introduction to bioinformatics with RDDC classification:
  • 570.285 CUR-I 2020 1451012
Summary: "This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. Through the entire book, theoretical explanations are presented alongside step-by-step instructions for carrying out a number of widely-applicable data analysis tasks using freely available software. This book guides the reader through the basic principles of exploratory analysis and hypothesis testing in high-dimensional datasets, and the practicalities of installing statistical computing software and using this to handle different types of data tables"--
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books University Institute of Medical Lab Technology Library Book Cart 570.285 CUR-I 2020 1451012 (Browse shelf(Opens below)) c-1 Available 1451012
Books Books University Institute of Medical Lab Technology Library Book Cart 570.285 CUR-I 2020 1451013 (Browse shelf(Opens below)) c-2 Available 1451013
Books Books University Institute of Medical Lab Technology Library Book Cart 570.285 CUR-I 2020 1451014 (Browse shelf(Opens below)) c-3 Available 1451014
Total holds: 0

"A Chapman and Hall book."

Includes bibliographical references and index.

"This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. Through the entire book, theoretical explanations are presented alongside step-by-step instructions for carrying out a number of widely-applicable data analysis tasks using freely available software. This book guides the reader through the basic principles of exploratory analysis and hypothesis testing in high-dimensional datasets, and the practicalities of installing statistical computing software and using this to handle different types of data tables"--

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