Optimal timepoint sampling in high-throughput gene expression experiments
Article
Article Title | Optimal timepoint sampling in high-throughput gene |
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ERA Journal ID | 39798 |
Article Category | Article |
Authors | Rosa, Bruce A., Zhang, Ji, Major, Ian T., Qin, Wensheng and Chen, Jin |
Journal Title | Bioinformatics |
Journal Citation | 28 (21), pp. 2773-2781 |
Number of Pages | 9 |
Year | 2012 |
Place of Publication | United Kingdom |
ISSN | 1367-4803 |
1367-4811 | |
Digital Object Identifier (DOI) | https://doi.org/10.1093/bioinformatics/bts511 |
Web Address (URL) | http://bioinformatics.oxfordjournals.org/content/28/21/2773.abstract |
Abstract | Motivation: Determining the best sampling rates (which maximize information yield and minimize cost) for time-series high-throughput gene expression experiments is a challenging optimization problem. |
Keywords | sampling rates |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Lakehead University, Canada |
Department of Mathematics and Computing | |
Michigan State University, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1v01/optimal-timepoint-sampling-in-high-throughput-gene-expression-experiments
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