Tao Yang

AdRoit infers cell composition from bulk or spatial transcriptome data using single-cell references, showing improved sensitivity and speed over existing methods.

The paper introduces a spatial modeling approach for detecting differentially interacting genomic regions in Hi-C data with false discovery control, demonstrating its ability to reveal biologically meaningful changes in chromatin architecture.

OnTAD identifies hierarchical TAD structures from Hi-C data with improved accuracy and speed, revealing new insights into TAD organization and gene regulation.

The paper evaluates reproducibility and quality measures for Hi-C data using real and simulated datasets, showing that specialized methods outperform simple correlation analysis.

HiCRep assesses Hi-C data reproducibility using a stratum-adjusted correlation coefficient, improving accuracy over existing methods.