报告题目：Batch effects problems in single-cell data

报告时间：2025年11月14日下午15:00

报告地点：北湖东校区激情视频 新楼216室

主办单位：激情视频 /科研处

报告人：靳水林

报告人简介：靳水林，哈尔滨工业大学教授，现任校发展规划与学科建设办公室主任工程师，2023年入选国家高层次人才计划。主要研究生物统计学与生物信息学的交叉领域，主持完成国家自然科学基金、国家重点研发计划、863计划等十余项国家级项目。靳教授在《中国科学》《美国国家科学院院刊》等顶尖期刊发表论文五十余篇，获得黑龙江省自然科学奖一等奖。

摘要：Batch effects have been a long-standing problem in sequencing data analysis, significantly impeding the comparison of multiple experiment batches. Existing methods for batch effect removal and quantification emphasize cell alignment across batches, overlooking gene-level batch effects. Here, we introduce group technical effects (GTE), a quantitative metric to assess gene-level batch effects. Using GTE, we show the unbalanced gene-level batch effects in single-cell data. A subset of highly batch-sensitive genes (HBGs) is the main contributor to batch effects and varies across datasets, while non-highly batch-sensitive genes (non-HBGs) exhibit minimal batch effects. As few as three HBGs are sufficient to introduce strong batch effects to the data. Furthermore, biologically similar cell types undergo similar batch effects, informing the development of data integration strategies. The GTE method is versatile and applicable to various single-cell omics data types.