Journal article
Statistical considerations for high throughput screening data
Frontiers in biology, Vol.5(4), pp.354-360
2010
DOI: 10.1007/s11515-010-0053-2
Abstract
High throughput screening (HTS) is a widely used effective approach in genome-wide association and large scale protein expression studies, drug discovery, and biomedical imaging research. How to accurately identify candidate ‘targets’ or biologically meaningful features with a high degree of confidence has led to extensive statistical research in an effort to minimize both false-positive and false-negative rates. A large body of literature on this topic with in-depth statistical contents is available. We examine currently available statistical methods on HTS and aim to summarize some selected methods into a concise, easy-tofollow introduction for experimental biologists.
Details
- Title: Subtitle
- Statistical considerations for high throughput screening data
- Creators
- Xian-Jin Xie - The University of Texas Southwestern Medical Center
- Resource Type
- Journal article
- Publication Details
- Frontiers in biology, Vol.5(4), pp.354-360
- Publisher
- SP Higher Education Press
- DOI
- 10.1007/s11515-010-0053-2
- ISSN
- 1674-7984
- eISSN
- 1674-7992
- Language
- English
- Date published
- 2010
- Academic Unit
- Preventive and Community Dentistry; Biostatistics; Dental Research
- Record Identifier
- 9984367726402771
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