Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R (PDF)
(Sprache: Englisch)
This will be the first book to systematically describe the process and provide corresponding methods for analysing data generated from genetic- and epigenetic-studies. The overall subject is on large data analysis. Specifically, the book aims to provide...
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Produktinformationen zu „Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R (PDF)“
This will be the first book to systematically describe the process and provide corresponding methods for analysing data generated from genetic- and epigenetic-studies. The overall subject is on large data analysis. Specifically, the book aims to provide apipe line for genetic and epigenetic data analysis starting from raw genome- and epigenome-scale data. It includes methods to pre-process genetic and epigenetic data in the genome-scale, methods for data mining to identify potentially informative factors, and methods for subsequent analyses after data mining, e.g., factor/variable selections, network construction, and testing for differential networks.
Autoren-Porträt von Hongmei Zhang
Dr. Hongmei Zhang received her PhD in Statistics in 2003 from the Iowa State University. She was an Associate Professor in Biostatistics at the University of South Carolina before moving to the University of Memphis. She is the recipient of several NIH research grants for her collaborative work in cancer and allergic disease studies, and for her statistical methodology development in variable selection, joint clustering, and Bayesian network.
Bibliographische Angaben
- Autor: Hongmei Zhang
- 2020, 200 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1498772609
- ISBN-13: 9781498772600
- Erscheinungsdatum: 14.05.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 3.08 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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