Bayesian Modeling in Bioinformatics: 34 (Chapman & Hall/CRC Biostatistics Series) - Softcover

Softcover

ISBN 10: 0367383659 ISBN 13: 9780367383657

Verlag: Routledge, 2019

Inhaltsangabe

This volume discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research. It presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis. Illustrating concepts using real-world data, the book covers a variety of recently developed Bayesian techniques, along with applications in genome-wide studies, phylogenetics, breast cancer, expression genomics, and more.

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Über die Autorin bzw. den Autor

Dipak K. Dey is a professor and head of the Department of Statistics at the University of Connecticut.

Samiran Ghosh is an assistant professor in the Department of Mathematical Sciences at Indiana University-Purdue University.

Bani K. Mallick is a professor of statistics and director of the Bayesian Bioinformatics Laboratory at Texas A&M University.

Details zur Ausgabe

• Verlag: Routledge
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 0367383659
• ISBN 13: 9780367383657
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 468
• Herausgeber: Dey Dipak K.
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar