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Data Analysis for Omic Sciences: Methods and Applications

  • 1st Edition, Volume 82 - September 28, 2018
  • Editors: Joaquim Jaumot, Carmen Bedia, Romà Tauler
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 4 4 4 - 6 4 0 4 4 - 4
  • eBook ISBN:
    9 7 8 - 0 - 4 4 4 - 6 4 0 4 5 - 1

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environme… Read more

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Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more.

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