models methods used analysis di lutter dominik (4 risultati)

Taschenbuch. Condizione: Neu. Neuware -Modern biology extensively deals with high throughput gene expression data. Although these datasets provide information about the expression of thousands of transcripts, the extraction of information desired by the researcher is a challenging task. Up to now, a variety of different analysis methods and tools have been developed. This book provides an overview of the mechanisms of gene regulation and discusses several of the expression data analysis methods based on the underlying model conceptions. On the basis of three different case studies, distinct analysis approaches are presented and comprehensive discussion of the results is provided.Books on Demand GmbH, Überseering 33, 22297 Hamburg 136 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lutter DominikDominik Lutter was born in Nairobi, Kenia in November 1977.Duringhis studies at the University of Regensburg he focused on botany,zoology and bioinformatics. He obtained a PhD degree in Biologyin 2009. Currently, he is .

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern biology extensively deals with high throughput gene expression data. Although these datasets provide information about the expression of thousands of transcripts, the extraction of information desired by the researcher is a challenging task. Up to now, a variety of different analysis methods and tools have been developed. This book provides an overview of the mechanisms of gene regulation and discusses several of the expression data analysis methods based on the underlying model conceptions. On the basis of three different case studies, distinct analysis approaches are presented and comprehensive discussion of the results is provided. 136 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modern biology extensively deals with high throughput gene expression data. Although these datasets provide information about the expression of thousands of transcripts, the extraction of information desired by the researcher is a challenging task. Up to now, a variety of different analysis methods and tools have been developed. This book provides an overview of the mechanisms of gene regulation and discusses several of the expression data analysis methods based on the underlying model conceptions. On the basis of three different case studies, distinct analysis approaches are presented and comprehensive discussion of the results is provided.