English(EN) Modeling Cell-Cycle-Aware Single-Cell Drug Perturbation Responses

新的scCycleMol框架预测药物反应中的细胞周期变化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-01 04:00

研究人员开发了scCycleMol，一个旨在预测单细胞数据中药物扰动反应的新型框架，特别关注细胞周期感知。该模型不仅能预测转录变化，还能预测细胞增殖状态的变化。通过纳入细胞周期监督，scCycleMol在一个大型基准数据集上展示了比现有基线更优的分布外表达预测能力。 AI

影响该框架通过考虑细胞周期动力学，有望提高生物学研究中药物反应预测的准确性。

排序理由该集群描述了一个新的计算框架及其在基准数据集上的评估，符合研究的定义。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Dingping Zhao, Jie Lin · 2026-07-01 04:00

模拟细胞周期感知单细胞药物扰动反应

arXiv:2606.30695v1 Announce Type: cross Abstract: Single-cell drug perturbation models should predict not only transcriptional response magnitude, but also whether a treatment alters the proliferative state of a cell. This is challenging because cell-cycle variation is often trea…