Prediction of selective and synergistic drug combinations for relapsed AML
收藏NIAID Data Ecosystem2026-05-02 收录
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资源简介：
Based on a heterogeneous cohort of diagnosis-relapse/refractory (R/R) acute myeloid leukaemia (AML) samples, we developed a systematic combinatorial design strategy that uses machine learning and single-cell RNA sequencing (scRNA-seq) to prioritise safe and effective targeted drug combinations for AML patients with R/R disease.
创建时间：
2024-09-28
