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Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia Johnson - okladka książki

Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia Johnson - okladka książki

Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia Johnson - audiobook MP3

Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment Paul Gerrard, Radia Johnson - audiobook CD

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432
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O autorach książki

Paul Gerrard is a physician and healthcare researcher who is based out of Portland, Maine, where he currently serves as the medical director of the cardiopulmonary rehabilitation program at New England Rehabilitation Hospital of Portland. He studied business economics in college. After completing medical school, he did a residency in physical medicine and rehabilitation at Harvard Medical School and Spaulding Rehabilitation Hospital, where he served as chief resident and stayed on as faculty at Harvard before moving to Portland. He continues to collaborate on research projects with researchers at other academic institutions within the Boston area and around the country. He has published and presented research on a range of topics, including traumatic brain injury, burn rehabilitation, health outcomes, and the epidemiology of disabling medical conditions.
Radia Johnson, Ph.D. is a Research Scientist & Bioinformatician who specializes in Immunology and Cancer Biology. She routinely uses R and other programing languages to explore genomic data of cancer cells to identify molecular changes and risk factors that contributes to cancer development. Since completing her Ph.D. at the University of Toronto, she has pursued her research interests using system biology to study blood cancers at the University of Cambridge in the UK and the Universit de Montral in Canada. She is currently based in Montreal, as a Bioinformatician for the Rosalind & Morris Goodman Cancer Research Center at McGill University.

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