Libros UCLV { BETA }

This project presents demonstrations of selected computer science algorithms important in bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an interesting platform for demonstration of algorithms, since various steps of the calculations can be exposed in a manner that is easily comprehensible to users with little programming experience. The algorithms demonstrated include two approaches to approximate string matching (dynamic programming and Shift-AND numeric approximate matching), Hierarchical Clustering (used in phylogenetic studies and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene expression data, and a simple Neural Network. These demonstrations are designed to serve as instructional aids in bioinformatics courses

Charts and Graphs for Microsoft Office Excel 2007

The goal of this book is to make you more efficient and effective in creating visual displays of information using Excel. In the early chapters of this book, you will learn how to use the new Excel 2007 charting interface. Chapters 3 through 6 walk you through all the built-in chart types and talk about when you can use each chart type. Chapter 7 discusses about creating unusual charts. Chapter 8 covers pivot charts, and Chapter 9 covers creating visual displays of information right in the worksheet. Chapter 10 covers mapping, and Chapter 11 covers the new SmartArt business graphics, as well as Excel 2007’s shape tools. The penultimate chapter presents macro tools you can use to automate the production of charts using Excel VBA. In Chapter 14, you will see several techniques that people may use to stretch the truth with charts. Finally, in Appendix A, I provide you with a list of resources to give you additional help with creating charts and graphs.

Excel 2007: Beyond the Manual

This book is aimed at spreadsheet users who already have some familiarity with pre- vious versions of Microsoft Excel and who want an overview of the modifications and new features being introduced with Microsoft Office 2007. The book is also intended to be a practical guide to anyone wishing to update their Excel skills and progress to the more advanced features of this essential spreadsheet application.

Excel 2007 Data Analysis For Dummies

This book isn’t meant to be read cover to cover like a Dan Brown page-turner. Rather, it’s organized into tiny, no-sweat descriptions of how to do the things that must be done. Hop around and read the chapters that interest you. If you’re the sort of person who, perhaps because of a compulsive bent, needs to read a book cover to cover, that’s fine. I recommend that you delve in to the chapters on inferential statistics, however, only if you’ve taken at least a couple of college-level statistics classes. But that caveat aside, feel free. After all, maybe Lost is a rerun tonight.