{ "_id": "6a1f1de8b401979e7341fd0b", "Package": "MetaClean", "Type": "Package", "Title": "Detection of Low-Quality Peaks in Untargeted Metabolomics Data", "Version": "1.0.1", "Author": "Kelsey Chetnik", "Maintainer": "Kelsey Chetnik ", "Description": "Utilizes 11 peak quality metrics and 8 diverse machine\nlearning algorithms to build a classifier for the automatic\nassessment of peak integration quality of peaks from untargeted\nmetabolomics analyses. The 11 peak quality metrics were adapted\nfrom those defined in the following references: Zhang, W., &\nZhao, P.X. (2014) Toghi\nEshghi, S., Auger, P., & Mathews, W.R. 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Peak)", "topics": [ "calculateModality" ] }, { "page": "calculateRetentionTimeConsistency", "title": "Calculate Retention Time Consistency (of a Peak Group)", "topics": [ "calculateRetentionTimeConsistency" ] }, { "page": "calculateSharpness", "title": "Calculate Sharpness (of a Chromatographic Peak)", "topics": [ "calculateSharpness" ] }, { "page": "calculateSymmetry", "title": "Calculate Symmetry (of a Chromatographic Peak)", "topics": [ "calculateSymmetry" ] }, { "page": "calculateTPASR", "title": "Calcualte Triangle Peak Area Similarity Ratio (TPASR) (of a Chromatographic Peak)", "topics": [ "calculateTPASR" ] }, { "page": "calculateZigZagIndex", "title": "Calculate the Zig-Zag Index (of a Chromatographic Peak)", "topics": [ "calculateZigZagIndex" ] }, { "page": "evalObj-class", "title": "A custom class for storing the chromatographic peak data required by the peak metric functions for each group of samples.", "topics": [ "evalObj", "evalObj-class" ] }, { "page": "ex_peakData", 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