meta_balancedconfounded_dataset_3omics.xlsx

Metadata of dataset from balanced and confounded scenarios. <br> A subset of datasets from the full datasets to create balanced and confounded scenarios for assessing the pros and cons of the BECAs. In the balanced experiment scenario, 15 batches of data were used for each omics type, with each batch containing three study groups (D5, F7, and M8) and one replicate per group. In the confounded experiment scenario, the same 15 batches of data were used for each omics type, with each batch containing three replicates from one of the three study groups (D5, F7, or M8). Additionally, the three replicates from the arbitrarily selected reference group (D6) in each batch were employed for reference-based BECAs. Therefore, 45 study samples and 45 reference samples in balanced and confounded scenarios were employed at each omics level.平衡与混淆实验场景下的数据集元数据。 本数据集为全数据集的子集，用于构建平衡与混淆实验场景，以评估BECAs的优劣性能。在平衡实验场景中，每种组学（omics）类型均采用15批次数据，每一批次包含3个研究组别（D5、F7与M8），且每个组别对应1个重复样本。在混淆实验场景下，每种组学类型仍使用相同的15批次数据，但每一批次仅包含3个重复样本，且均来自上述3个研究组别中的某一个（D5、F7或M8）。此外，每一批次中从任意选定的参考组（D6）选取的3个重复样本，将用于基于参考的BECAs分析。因此，在平衡与混淆两种实验场景下，每种组学层面均使用45个研究样本与45个参考样本。