CellReprogramR: Full-scale L1000 CNS Perturbational Profile Matrix and Metadata for Single-Cell Fate Reprogramming

**Overview:**This dataset provides the full-scale processed L1000 perturbational gene expression matrix and metadata customized for the **CellReprogramR** R package. It enables systematic high-throughput screening and synergy score evaluation of small molecules and genetic perturbations to predict and drive single-cell transcriptomic fate transitions. **Contents of Dataset:*** `l1000_cns_matrix_quant.parquet`: Quantile-normalized gene expression matrix containing perturbational signatures encoded in Apache Parquet format for high-speed I/O.* `l1000_cns_meta.parquet`: Corresponding metadata table detailing perturbational signatures, compound details (pert_iname, pert_type), concentrations, and perturbational IDs. **Usage & Code Integration:**This dataset is designed to be directly ingested by the `CellReprogramR` main analysis pipeline: ```rlibrary(CellReprogramR) #Only the meta file path is required as input. Matrix files will be automatically recognized and matched under the D:/Cell/data/ directory.results <- run_reprogramming_pipeline( rds_path = "Glioma_CrossCohort_Annotated_CyclingTAMs_Final.rds", meta_parquet_path = "D:/Cell/data/l1000_cns_meta.parquet", output_dir = "./Output")