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This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions using publicly available molecular biology datasets.
Ed Curry initially studied computer science (Cambridge) and AI with a systems biology specialism (Edinburgh) before embarking on a PhD in computer-based molecular biology, studying stem cell differentiation at the Centre for Regenerative Medicine in Edinburgh. He spent 10 years in the Faculty of Medicine at Imperial College London, during which time he established a research group focusing on interactions between the genetic, epigenetic and transcriptional state of cancer cells during carcinogenesis and the acquisition of drug resistance. He has extensive teaching experience as a lecturer, examiner and course director, including co-founding Imperial College's Cancer Informatics MRes program and the Genetics & Genomics module for the BSc in Medical Biosciences. He joined GSK R&D in October 2019, remaining an honorary lecturer at Imperial College.
Produktbeschreibung
- Chapman & Hall/CRC Computational Biology Series
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 310
- Erscheinungstermin: 3. November 2020
- Englisch
- Abmessung: 233mm x 154mm x 17mm
- Gewicht: 534g
- ISBN-13: 9781138495715
- ISBN-10: 1138495719
- Artikelnr.: 60004962
Herstellerkennzeichnung
Libri GmbH
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de
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