BERNN: Enhancing Classification of liquid chromatography mass spectrometry data with Batch Effect Removal Neural Networks

Data that was used to produce all the bar plots of the paper. All cells contains an array, each value in the array represents a repetition of the repeated holdout. Some of the bacth effect metrics values only have a single value because the batch correction is only done once, as it always return the same values.本论文所有柱状图所使用的数据集。所有单元格均包含一个数组，数组中的每个元素对应一次重复留出法（repeated holdout）的运行结果。部分批次效应指标（batch effect metrics）仅包含单个数值，这是因为批次校正（batch correction）仅执行一次，其输出结果始终恒定不变。