Data Analysis Approaches in High Throughput Screening ( Drug Discovery )

Publication series ： Drug Discovery

Author： Asli N. Goktug Sergio C. Chai and Taosheng Chen

Publisher： IntechOpen‎

Publication year： 2013

E-ISBN: INT0338852508

P-ISBN(Paperback): 9789535109068

P-ISBN(Hardback): 9789535109068

Subject： R47 Nursing

Keyword：护理学

Language： ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Data Analysis Approaches in High Throughput Screening

Chapter

Chapter 7 Data Analysis Approaches in High Throughput Screening

1. Introduction

2. Role of statistics in HT screening design

2.1. HT screening process

2.2. Classical versus robust (resistant) statistics

2.3. False discovery rates

3. Normalization and systematic error corrections

3.1. Normalization for assay variability

3.2. Normalization for systematic errors

4. QC methods

5. “Hit” selection methods

5.1. “Hit” selection in primary screen

5.2. “Hit” selection in confirmatory screen

5.2.1. Dose-response analysis

The users who browse this book also browse