Kaiwen Wang

BiGER is a Bayesian rank aggregation method for meta-analysis of gene lists, handling mixed rankings and missing data with high accuracy.

CytoOne is a probabilistic framework for CyTOF data that integrates batch correction, differential analysis, and visualization, effectively modeling sparse and noisy data.

Cmai predicts antigen-antibody interactions from high-throughput BCR sequencing data, revealing immune responses to tumor antigens and ICI treatment outcomes.

Cytomulate simulates CyTOF data accurately and efficiently, outperforming existing methods in capturing data characteristics and learning distributions.

This paper benchmarks 21 dimension reduction methods on CyTOF data, finding SAUCIE, SQuaD-MDS, and scvis as top performers with different strengths.