Molecular data analysis using di ortutay csaba (17 risultati)

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  • Lingua: Inglese

    Editore: *Wiley-Blackwell, 2017

    1119165024 / 9781119165026

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    Editore: *Wiley-Blackwell, 2017

    1119165024 / 9781119165026

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  • Lingua: Inglese

    Editore: John Wiley and Sons Ltd, Hoboken, 2017

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    Paperback. Condizione: new. Paperback. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories. Key features include: Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered. First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology. Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Lingua: Inglese

    Editore: Wiley, 2017

    1119165024 / 9781119165026

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  • Lingua: Inglese

    Editore: Wiley-Blackwell, 2017

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    Editore: *Wiley-Blackwell, 2017

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: Wiley-Blackwell 2017-01, 2017

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  • Lingua: Inglese

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  • Lingua: Inglese

    Editore: John Wiley and Sons Ltd, 2017

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  • Lingua: Inglese

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    Condizione: New. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. Num Pages: 352 pages. BIC Classification: PBT; PDE; PS. Category: (P) Professional & Vocational. Dimension: 244 x 172 x 15. Weight in Grams: 676. . 2017. Paperback. . . . .

  • Lingua: Inglese

    Editore: John Wiley and Sons Ltd, Hoboken, 2017

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    Paperback. Condizione: new. Paperback. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories. Key features include: Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered. First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology. Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: John Wiley and Sons Ltd, 2017

    1119165024 / 9781119165026

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    Condizione: New. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. Num Pages: 352 pages. BIC Classification: PBT; PDE; PS. Category: (P) Professional & Vocational. Dimension: 244 x 172 x 15. Weight in Grams: 676. . 2017. Paperback. . . . . Books ship from the US and Ireland.

  • Lingua: Inglese

    Editore: John Wiley & Sons Feb 2017, 2017

    1119165024 / 9781119165026

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    Taschenbuch. Condizione: Neu. Neuware - This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories. Key features include:¿Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered.¿First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology.¿Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.

  • Lingua: Inglese

    Editore: Wiley-Blackwell, 2017

    1119165024 / 9781119165026

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  • Lingua: Inglese

    Editore: John Wiley and Sons Ltd, 2017

    1119165024 / 9781119165026

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    Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 676.