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2005 (2)

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Book
Introduction to data science : data analysis and prediction algorithms with R
Author:
ISBN: 9780429341830 Year: 2020 Publisher: Boca Raton, Fla CRC Press, Taylor & Francis Group

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Book
Introduction to data science : data analysis and prediction algorithms with R
Author:
ISBN: 9780367357986 Year: 2020 Publisher: Boca Raton, Florida : CRC Press,

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"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building blocks needed to keep learning during the rest of the book" [Publisher]

Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Authors: --- --- --- --- --- et al.
ISBN: 9780387293622 0387293620 0387251464 9780387251462 6610413401 9786610413409 Year: 2005 Publisher: New York, NY Springer Science+Business Media, Inc.

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"This book is more than a static collection of descriptive text, figures, and code examples that were run by the authors to produce the text; it is a dynamic document. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers."--Jacket

Keywords

Biomathematics. Biometry. Biostatistics --- Animal genetics. Animal evolution --- medische statistiek --- bio-informatica --- biostatistiek --- genetica --- biometrie --- Bioinformatics --- R (Computer program language) --- Computational biology --- Programming languages (Electronic computers) --- Computational Biology --- Models, Statistical --- Programming Languages --- Language, Programming --- Languages, Programming --- Programming Language --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Biology --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- GNU-S (Computer program language) --- Domain-specific programming languages --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- methods --- Data processing --- Bioconductor (Computer file) --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- Computational Chemistry --- Genomics


Digital
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Authors: --- --- --- ---
ISBN: 9780387293622 Year: 2005 Publisher: New York, NY Springer Science+Business Media, Inc

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