BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research

Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research

Optimal High-Throughput Screening: Practical Experimental Design and Data
Stock photo: cover may vary

Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research Hardback - 2011 - 1st Edition

by Zhang, Xiaohua Douglas

Add to wish list
  • Used
  • Hardback
  • first
Used: Good

Description

Cambridge University Press, 2011-02-21. 1. hardcover. Used: Good. 7.00x0.75x10.00. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$189.93
Free Delivery within USA
Standard delivery: 5 to 10 days
More delivery options
Dropship order
Ships from Ergodebooks (Texas, United States)

Details

About Ergodebooks Texas, United States

Biblio member since 2005

Our goal is to provide best customer service and good condition books for the lowest possible price. We are always honest about condition of book. We list book only by ISBN # and hence exact book is guaranteed.

Terms of Sale:

We have 30 day return policy.

Browse books from Ergodebooks

Reader reviews for Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research

From the publisher

This concise, self-contained, and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing, and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments.
tracking-