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Mendeley readers
| Chapter title |
Correction of Microplate Data from High-Throughput Screening
|
|---|---|
| Chapter number | 13 |
| Book title |
High-Throughput Screening Assays in Toxicology
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-6346-1_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6344-7, 978-1-4939-6346-1
|
| Authors |
Yuhong Wang, Ruili Huang, Wang, Yuhong, Huang, Ruili |
| Abstract |
High-throughput screening (HTS) makes it possible to collect cellular response data from a large number of cell lines and small molecules in a timely and cost-effective manner. The errors and noises in the microplate-formatted data from HTS have unique characteristics, and they can be generally grouped into three categories: run-wise (temporal, multiple plates), plate-wise (background pattern, single plate), and well-wise (single well). In this chapter, we describe a systematic solution for identifying and correcting such errors and noises, mainly basing on pattern recognition and digital signal processing technologies. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 30% |
| Student > Ph. D. Student | 2 | 20% |
| Student > Doctoral Student | 2 | 20% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 20% |
| Environmental Science | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Computer Science | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |