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This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications.
Computer Networks & Communications (NetCom) is the proceedings from the Fourth... Læs mere
In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis.
This book explores the different strategies regarding limited feedback information. This volume presents theoretical analysis as well as practical... Læs mere
Small molecule microarrays (SMM) were introduced just a decade ago in 1999 and, within a short space of time, have already established themselves as a vibrant, next generation platform for high-throughput screening.
Network Biology presents experimental and computational approaches currently prevalent in network biology by practiced experts in the field. The text offers an ensemble of procedures for graduate students and seasoned professionals looking to polish their skill sets.
Carbohydrate microarrays emerged as a key technology for the deciphering of the glycospace. This book aims to give the reader the theoretical and experimental clues necessary for the fabrication and implementation of carbohydrate microarrays.
The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of absorption,... Læs mere
This book presents computational biology methods by focusing on their applications, including primary sequence analysis, protein structure elucidation, transcriptomics and proteomics data analysis, and exploration of protein interaction networks.
This book provides comprehensive coverage of verification and debugging techniques for embedded software, which is frequently used in safety critical applications (e.g., automotive), where failures are unacceptable.
This thorough book covers the most recent proteomics techniques, databases, bioinformatics tools, and computational approaches that are used for the identification and functional annotation of proteins and their structure.
This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology.