Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Januar 2026
Genre:	Schulbücher
	clustering / Computational Intelligence / Computeranwendungen in Industrie und Technologie / Data Mining / Gene Expression / Health Informatics / Kernel Methods / Künstliche Intelligenz / Learning system / Mathematical and Computational Biology / Multi-omics / Non-negative Matrix Factorization / Optimierung / Optimization / Single cell data / Support Vector Machines mehr...
ISBN:	9789819531288
EAN-Code:	9789819531288
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	232
Illustration:	X, 232 p. 90 illus., 89 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book provides a new perspective on omics data modelling and analysis in bioinformatics area. Taking into consideration on the high-dimensionality and nonlinearity properties in omics data, the book detangles nonlinearity of data through novel perspectives of matrix optimization. Through integration of machine learning frameworks, various novel techniques are proposed to deal with the complexity of omics data analysis. Intuitive examples and illustrations are provided to help readers for understanding the key idea and general procedures in omics data analysis. This book is intended for academic scholars and practitioners who are interested in learning, computational biology, optimization and related fields. The graduate students in the above field can also benefit from this book.