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"Multiplexed Networks for Embedded Systems: CAN, LIN, Flexray, Safe-by-Wire..." by Dominique Paret (Repost)
Dino Esposito, "Building Web Solutions with ASP.Net and ADO.NET" (Repost)
Learning Core Audio: A Hands-On Guide to Audio Programming for Mac and iOS
Power Performance - Multimedia Storytelling for Journalism and Public Relations
pluralsight-training.net SQL Server: Transact-SQL Basic Data Retrieval [2012, ENG]
pluralsight-training.net SQL Server: Collecting and Analyzing Trace Data [2012, ENG]
Pluralsight.net - Introduction to Nancy-JWARE
Technical Structured Programming with C++
Technical Getting Started with LaTeX by David R. Wilkins
Windows A Third Window - Natural Life beyond Newton and Darwin
PLURALSIGHT.NET WINDOWS 8 METRO CONNECTED APPS-JGTiSO
PLURALSIGHT.NET WINDOWS 8 METRO APPLICATION DATA-JGTiSO
PLURALSIGHT.NET BUILDING WINDOWS 8 METRO APPS WITH C PLUS PLUS AND XAML-JGTiSO
PLURALSIGHT.NET BUILDING WINDOWS 8 METRO APPS WITH C SHARP AND XAML-JGTiSO
PLURALSIGHT.NET INTRODUCTION TO BUILDING WINDOWS 8 METRO APPLICATIONS-JGTiSO
Multimedia over IP and Wireless Networks - Compression, Networking, and Systems
Interactive Distributed Multimedia Systems and Telecommunication Services
The Art of Hardware Architecture - Design Methods and Techniques for Digital Circuits
Pro/ENGINEER WILDFIRE 5.0 Tutorial and MultiMedia CD
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Technical Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling (Repost)
Posted on 2010-09-02
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More Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling The broad aim of this book is to provide an introduction to mathematical modeling in cancer research, and we hope that this will contribute to bridging the gap between mathematical modelers and experimental oncologists. The book is written with this goal in mind. On the one hand we will Computational Biology of cancer introduce the mathematical methodology which underlies the theoretical work. On the other hand, we discuss how the modeling results can help us generate new biologically relevant insights, interpret data, and design further experiments.
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