A methodology to analyse high-throughput screening data using regression
نویسنده
چکیده
We live in the era of big data. Biological research is not an exception. Since the appearance of highthroughput screening microscopes biologists can acquire hundreds of thousands of images in a short time. The term high-throughput screening incorporates different components of this big data analysis starting from lab automation through cutting-edge microscopy to image analysis and machine learning software. For Computer Science people the latter fields of these pipelines are the most interesting. How can we analyse reliably extremely large amount of images and provide statistics that can support or reject biological hypotheses?
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