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https://hdl.handle.net/1959.11/16098| Title: | Descriptive Statistics of Data: Understanding the Data Set and Phenotypes of Interest | Contributor(s): | Dominik, Sonja (author) |
Publication Date: | 2013 | DOI: | 10.1007/978-1-62703-447-0_2 | Handle Link: | https://hdl.handle.net/1959.11/16098 | Abstract: | A good understanding of the design of an experiment and the observational data that have been collected as part of the experiment is a key pre-requisite for correct and meaningful preparation of field data for further analysis. In this chapter, I provide a guideline of how an understanding of the field data can be gained, preparation steps that arise as a consequence of the experimental or data structure, and how to fit a linear model to extract data for further analysis. | Publication Type: | Book Chapter | Source of Publication: | Genome-Wide Association Studies and Genomic Prediction, p. 19-35 | Publisher: | Humana Press | Place of Publication: | New York, United States of America | ISBN: | 9781627034463 9781627034470 |
Fields of Research (FoR) 2008: | 070201 Animal Breeding | Fields of Research (FoR) 2020: | 300305 Animal reproduction and breeding | Socio-Economic Objective (SEO) 2008: | 830503 Live Animals 970111 Expanding Knowledge in the Medical and Health Sciences |
Socio-Economic Objective (SEO) 2020: | 100699 Primary products from animals not elsewhere classified 280112 Expanding knowledge in the health sciences |
HERDC Category Description: | B1 Chapter in a Scholarly Book | Publisher/associated links: | http://trove.nla.gov.au/version/198468706 | Series Name: | Methods in Molecular Biology | Series Number : | 1019 | Editor: | Editor(s): Cedric Gondro, Julius van der Werf, Ben Hayes |
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| Appears in Collections: | Book Chapter |
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