Wenjia Wang

This study benchmarks 12 scRNA-seq CNV inference methods across 28 datasets, finding allele-aware tools perform better with high-quality allelic data, while expression-centric tools are reliable with raw data.

The paper develops a method to co-profile transcriptomes and proteomes of rare CSF-CTCs, revealing malignant dormancy and post-transcriptional buffering as key mechanisms of treatment resistance.