Mohlo by sa vám tiež páčiť

Informovať o naskladnení knihy

Viac informácií o knihe Kernel Methods for Omics Data Mining

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 324 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po nemecky Naturwissenschaften, Medizin, Informatik, Technik Mathematik Mathematik - Sonstiges

• Celý názov: Kernel Methods for Omics Data Mining
• Autor: Wai-Ki Ching
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 230
• EAN: 9789819531288
• ISBN: 9819531284
• ID: 49609028
• Nakladateľ: Springer-Verlag GmbH
• Hmotnosť: 523 g
• Dátum vydania: 05. December 2025

---

---

---