Statistical Bioinformatics: For Biomedical and Life Science by Jae K. Lee

By Jae K. Lee

This booklet presents a necessary knowing of statistical techniques important for the research of genomic and proteomic facts utilizing computational concepts. the writer offers either simple and complex issues, concentrating on those who are proper to the computational research of enormous info units in biology. Chapters start with an outline of a statistical idea and a present instance from biomedical examine, through extra distinct presentation, dialogue of obstacles, and difficulties. The booklet starts off with an advent to likelihood and information for genome-wide facts, and strikes into issues corresponding to clustering, category, multi-dimensional visualization, experimental layout, statistical resampling, and statistical community research.

  • Clearly explains using bioinformatics instruments in existence sciences learn with no requiring a complicated historical past in math/statistics
  • Enables biomedical and existence sciences researchers to effectively overview the validity in their effects and make inferences
  • Enables statistical and quantitative researchers to speedily study novel statistical recommendations and methods acceptable for giant organic info analysis
  • Carefully revisits often used statistical methods and highlights their obstacles in huge organic facts analysis
  • Offers programming examples and datasets
  • Includes bankruptcy challenge units, a thesaurus, a listing of statistical notations, and appendices with references to heritage mathematical and technical material
  • Features supplementary fabrics, together with datasets, hyperlinks, and a statistical package deal to be had online

Statistical Bioinformatics is a perfect textbook for college kids in drugs, lifestyles sciences, and bioengineering, geared toward researchers who make the most of computational instruments for the research of genomic, proteomic, and plenty of different rising high-throughput molecular information. it could possibly additionally function a swift advent to the bioinformatics technology for statistical and computational scholars and audiences who've no longer skilled such research initiatives before.

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