Qingke Zhang

Adversarial Transfer Learning for Predicting Drug Sensitivity in Single-Cell Data

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Adversarial Transfer Learning for Predicting Drug Sensitivity in Single-Cell Data

Lecture Notes in Computer Science, vol. 15710, pp. 242-256 (IJCRS 2025) · 2025-09-15

Conference Paper
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Abstract

Drug resistance remains a primary cause of cancer treatment failure, while single-cell-level heterogeneity within the tumor microen- vironment poses significant challenges for predicting drug sensitivity. This study proposes a framework for single-cell drug sensitivity pre- diction based on adversarial transfer learning.

药物耐药性及由此导致的治疗无效占癌症相关死亡的 90%。本文提出基于对抗领域自适应的迁移学习方法，用于预测单细胞数据的药物敏感性，为个性化治疗提供支持。

Keywords

Transfer learningDrug sensitivitySingle-cell data

Citation

H.-W. Zhang, S. Zhu, F. Lin, Q.-H. Zhang, F. Yang, and Q. Zhang* (2025). "Adversarial Transfer Learning for Predicting Drug Sensitivity in Single-Cell Data." Lecture Notes in Computer Science, 15710, pp. 242-256.