Additional file 9 of Age-associated changes in the circulating human antibody repertoire are upregulated in autoimmunity

Additional file 9: Table S1. The complete dataset for the Training Cohort (Experiment 1068). Dataset consists of meta data, raw foreground intensity data, and transformed data on which most analyses were performed. Meta data (META) uses row name ‘scan id’ as unique identifier that can be matched with other data files. Meta data columns include peptide array reagent, batch, assay, infection, and demographic information for a given sample. The foreground (FG) intensity values are formatted with rows as peptide probes and columns as donors. Each value is in range of [0,65,535]. The first column has row names, which is probe name, underscore, peptide sequence, where probe name is created based on the “X” and “Y” physical locations of where the probe is found on the array. The first row has column name ‘scan id’, which can be matched to the META rownames. The transformed data (LFG) is log-transformed data with shrinkage: log10(x + 100). This transform helps data follow a more homoskedastic distribution and decreases the influence of low intensity probes.补充文件9：表S1。实验1068训练队列的完整数据集。本数据集包含元数据（meta data）、原始前景强度数据，以及支撑绝大多数分析工作的经转换后的数据。元数据（meta data，缩写META）以"扫描编号（scan id）"作为行名，作为可与其他数据文件匹配的唯一标识符。元数据的列字段涵盖肽阵列试剂、批次、检测项目、感染状态，以及对应样本的人口统计学资料。前景（FG）强度值的排布格式为：行对应肽探针，列对应样本供体。单数值的取值范围为[0, 65535]。第一列为行名，格式为探针名称_肽序列，其中探针名称根据探针在阵列上的物理坐标"X"与"Y"生成。第一行的列名为"扫描编号（scan id）"，可与元数据的行名进行匹配。经转换后的数据（LFG）为带收缩校正的对数转换数据：log10(x + 100)。该转换可使数据更贴合同方差分布特性，同时削弱低强度探针的影响权重。