Handling abnormal microarray images
It is very important to handle abnormal situations during image processing for a high throughput system. The automated quality control, noise analysis, and classification should be incorporated during the system's design. There are many exceptions on the microarray images, which can be classified into 5 major types. Each exception can be caused by different factors. They could have a large impact on the result - either by causing a false signal or failing the experiments. Several examples will be discussed with different handling methods and will be analyzed for each type. Copyright ISCA, CAINE 2014.
27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014
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Huang, Ching Yu, "Handling abnormal microarray images" (2014). Kean Publications. 1994.