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Method and system for automated outlying feature and outlying feature background detection during processing of data scanned from a molecular array
Method and system for automated outlying feature and outlying feature background detection during processing of data scanned from a molecular array
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机译:在处理从分子阵列扫描的数据期间自动进行外围特征和外围特征背景检测的方法和系统
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摘要
A method and system for employing pixel-based, signal-intensity data contained within areas of a scanned image of a molecular array corresponding to features and feature backgrounds in order to determine whether or not the features or feature backgrounds have non-uniform signal intensities and are thus outlier features and outlier feature backgrounds. A calculated, estimated variance for the signal intensities within a feature or feature background is compared to a maximum allowable variance calculated for the feature or feature background based on a signal intensity variance model. When the experimental variance is less than or equal to the maximum allowable variance, the feature or feature background is considered to have acceptable signal-intensity uniformity. Otherwise, the feature or feature background is flagged as an outlier feature or outlier feature background.
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