This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

此技能适用于处理基因组区间数据（BED文件）的机器学习任务，可用于训练区域嵌入（Region2Vec、BEDspace）、单细胞ATAC-seq分析（scEmbed）、构建一致峰（universes）或任何基于机器学习的基因组区域分析。适用于BED文件集合、scATAC-seq数据、染色质可及性数据集以及基于区域的基因组特征学习。