2026-10-13T17:31:46Z https://www.scidb.cn/oai

10.57760/sciencedb.46175 2026-08-18T14:49:20Z

2026-08-18 English Brief Dataset Description doi:10.57760/sciencedb.46175 en This dataset contains complete reproducible analytical resources for double machine learning causal inference on SLE single-cell transcriptomics data. The archive is organized into three core directories: raw analysis scripts, standardized output results, and publication figures, accompanied by a README document detailing data processing pipelines and parameter configurations. The underlying biological data derives from the public GSE189050 CITE-seq PBMC dataset of SLE patients and healthy controls, with all cell filtering, gene preprocessing, random partition grouping, and dimensionality reduction code fully enclosed for direct replication of all empirical results presented in the corresponding manuscript. Double machine learning; causal inference; random walk; Randomized Partition Strategy; accuracy-compute trade-off; deep learning; autoencoder; single-cell transcriptomics; single cell RNA sequencing 叶葳 RESTRICTED dataset Science Data Bank