Transcriptomic assessment of chemical breast cancer risk factors: LINCS L1000 compound signatures in MCF7 compared with TCGA-BRCA vs GTEx deregulation (Scientific Reports 2025)
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Updated
Oct 26, 2026 - Jupyter Notebook
Transcriptomic assessment of chemical breast cancer risk factors: LINCS L1000 compound signatures in MCF7 compared with TCGA-BRCA vs GTEx deregulation (Scientific Reports 2025)
A senescence drug connectivity-mapping pilot that failed its own validation — code, failed tests, and a withdrawn result, published as a negative result.
[Donor] Drug-Response via LINCS L1000 + scRNA-seq | 药物响应
End‑to‑end pipeline for generating context‑aware drug embeddings from LINCS L1000 using RNA‑seq preprocessing, STRING PPI networks, and GNNs, with UMAP visualisation and drug‑class neighbourhood analysis.
Single-cell transcriptomic analysis and LINCS-based computational drug repurposing in HER2-positive breast cancer.
PERSIST (PERsister-State In-Silico Targeting): residual-state modelling of single-cell drug response for combination therapy prediction in EGFR-mutant NSCLC and TNBC
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