Zihao Chen

Benchmarking algorithms for spatially variable gene identification in spatial transcriptomics

This paper benchmarks algorithms for identifying spatially variable genes in spatial transcriptomics using synthesized and real-world datasets to evaluate their effectiveness and application scenarios.

Interpretable high-resolution dimension reduction of spatial transcriptomics data by SpaHDmap

SpaHDmap improves spatial transcriptomics data resolution by integrating gene expression with histology images, producing interpretable embeddings and detecting refined spatial structures.

Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data

The paper evaluates nine computational tools for identifying SARS-CoV-2 lineages in wastewater sequencing data using simulated samples, finding most tools reliably detect lineages above 5% frequency.