The last two decades have shown that the local microenvironment plays a pivotal role in cancer progression. Cancer is not the result of mutation events in single cells, but of a complex interplay of tumor cells, inflammatory cells, stem cells, growth factors, cytokines, chemokines and DNA-damaging agents. This book provides an up-to-date...

• Create a wide range of powerful R graphs
• Leverage lattice and ggplot2 to create high-quality graphs.
• Develop well-structured maps for efficient...

A cutting-edge collection of readily reproducible in vitro and in vivo methods to elucidate the mechanisms associated with cannabinoid function in health and disease. The techniques can be used in studies across the board from genes to behavior. The molecular neurobiological methods are invaluable in analyzing the structure, the...

Applying the object--oriented paradigm to the development of software requires individuals and teams to think and act differently than when designing procedural projects. While proponents of the object paradigm often say identifying objects is a simple and intuitive process, experienced developers know that this is not always true. The...

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If you want to go beyond the basics and start using SketchUp 3D modeling software in all phases of your design, The SketchUp Workflow for Architecture is the perfect place to start. From preliminary schematics to construction documentation and everything in between, the...

Comprising dozens of examples that address different industries...

The Topics Covered In This Book Are: Visualizing the Complete Oracle Environment, SQL: Structured Query Language, Oracle Database Concepts, Oracle Instance Concepts, Oracle in Action, Complete Oracle System Design: Steps of Implementation, Oracle Database Design, Oracle Network Administration, Oracle Database Management, Oracle Backup &...

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis...

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic...