Analysis of high-throughput screening assays using cluster enrichment
نویسندگان
چکیده
منابع مشابه
Design and Implementation of High-Throughput Screening Assays.
HTS remains at the core of the drug discovery process, and so it is critical to design and implement HTS assays in a comprehensive fashion involving scientists from the disciplines of biology, chemistry, engineering, and informatics. This requires careful consideration of many options and variables, starting with the choice of screening strategy and ending with the discovery of lead compounds. ...
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Drug screening is a long and costly process confronted with low productivity and challenges in using animals, which limit the discovery of new drugs. To improve drug screening efficacy and minimize animal testing, recent efforts have been dedicated to developing cell-based high throughput screening (HTS) platforms that can provide more relevant in vivo biological information than biochemical as...
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High-throughput screening (HTS) experiments provide a valuable resource that reports biological activity of numerous chemical compounds relative to their molecular targets. Building computational models that accurately predict such activity status (active vs. inactive) in specific assays is a challenging task given the large volume of data and frequently small proportion of active compounds rel...
متن کاملEnrichment of extremely noisy high-throughput screening data using a naïve Bayes classifier.
The noise level of a high-throughput screening (HTS) experiment depends on various factors such as the quality and robustness of the assay itself and the quality of the robotic platform. Screening of compound mixtures is noisier than screening single compounds per well. A classification model based on naïve Bayes (NB) may be used to enrich such data. The authors studied the ability of the NB cl...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2012
ISSN: 0277-6715
DOI: 10.1002/sim.5455