Handbook of Statistical Bioinformatics. Cet article n’est pas disponible.
Langue : anglais
Edité par Springer, 2013
Série : Livre 3 sur 6 - Springer Handbooks of Computational Statistics
- Livre broché
- Neuf
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Vendeur AbeBooks depuis 14 août 2006
Etat: Neuf
EUR 299,66
A propos de cet article
Druck auf Anfrage Neuware - Printed after ordering - Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.
N° de réf. du vendeur 9783642268274
- Titre
- Handbook of Statistical Bioinformatics
- Auteur
- Henry Horng-Shing Lu
- Éditeur
- Springer
- Année de publication
- 2013
- État de l'article
- Neu
- Reliure
- Taschenbuch
- Langue
- anglais
- ISBN à 10 chiffres
- 3642268277
- ISBN à 13 chiffres
- 9783642268274
- Poids de l'article
- 955 grammes
- Dimensions
- 235x155x35 mm
- Série
- Livre 3 sur 6: Springer Handbooks of Computational Statistics
This volume covers key topics in modeling and analysis of massive data sets generated from high throughput biotechnology. It provides an introductory and reference book for students and researchers.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
Henry Horng-Shing Lu is a Professor at the National Chiao Tung University's Institute of Statistics in Taiwan. He is also the Chairman of the University's Interdisciplinary Sciences Degree Program in the College of Science. His research interests are in the field of interdisciplinary studies related to statistics, medical images and bioinformatics.
Bernhard Schölkopf is a member of the Max Planck Society and Director of the Max Planck Institute for Biological Cybernetics. He is also an Honorary Professor of Machine Learning at the Technical University Berlin. His scientific interests are in the field of inference from empirical data; in particular, in machine learning methods for extracting statistical and causal regularities.
Hongyu Zhao is a Professor of Biostatistics, Statistics, and Genetics at Yale University, where he also serves as the Director of the Center for Statistical Genomics and Protoemics. His research interests include statistical genomics, computational biology, statistical proteomics, risk prediction, high dimensional data analysis, and network modeling and inference.
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