rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Statistical Methods in Bioinformatics
    sub title: an Introduction
  name:
    name part: Ewens, W. J. (Warren John)
    role:
      role term: creator
  name:
    name part: Grant, Gregory R.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2001
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xix, 476 pages)
  abstract: Advances in computers and biotechnology have had an immense impact on the biomedical fields, with broad consequences for humanity. Correspondingly, new areas of probability and statistics are being developed specifically to meet the needs of this area. There is now a necessity for a text that introduces probability and statistics in the bioinformatics context. This book also describes some of the main statistical applications in the field, including BLAST, gene finding, and evolutionary inference, much of which has not yet been summarized in an introductory textbook format. This book grew out of the bioinformatics courses given at the University of Pennsylvania. The material is, however, organized to appeal to biologists or computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved in bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematics background consists of courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context.
  table of contents: Probability Theory (i): One Random Variable -- Probability Theory (ii): Many Random Variables -- Statistics (i): An Introduction to Statistical Inference -- Stochastic Processes (i): Poisson Processes and Markov Chains -- The Analysis of One DNA Sequence -- The Analysis of Multiple DNA or Protein Sequences -- Stochastic Processes (ii): Random Walks -- Statistics (ii): Classical Estimation and Hypothesis Testing -- BLAST -- Stochastic Processes (iii): Markov Chains -- Hidden Markov Models -- Computationally Intensive Methods -- Evolutionary Models -- Phylogenetic Tree Estimation -- Appendix A: Basic Notions in Biology -- Appendix B: Mathematical Formulae and Results -- Appendix C: Computational Aspects of the Binomial and Generalized Geometric Distribution Functions -- Appendix D: BLAST: Sums of Normalized Scores -- References -- Author Index -- Index.
  note: by Warren J. Ewens, Gregory R. Grant.
  note: Electronic resource.
  subject:
    topic: Statistics
  subject:
    topic: Medicine
  subject:
    topic: Biology
    topic: Data processing
  subject:
    topic: Biology
    topic: Data processing
  subject:
    topic: Medicine
  subject:
    topic: Statistics
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Statistics for biology and health
  identifier: 9781475732474 (electronic bk.)
  identifier: 1475732473 (electronic bk.)
  identifier: 9781475732498
  identifier: 147573249X
  identifier: 1475732473
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 130107
    record change date: 20260422173305.7
    record identifier: in00003581389
    language of cataloging:
      language term: eng