Xikang Feng

BIND identifies biological significance of missing values in proteomics data, improving analysis and biomarker discovery.

OmicsSankey improves Sankey diagram layouts for omics data using eigen decomposition and teleportation, enhancing interpretability on synthetic datasets.

This study expands the number of complete temperate phage genomes by over 100-fold using a novel computational method applied to bacterial NGS data.

SeCNV improves copy number profiling in single-cell DNA sequencing by using structural entropy, achieving high accuracy and efficiency on large datasets.

SCYN is a single-cell CNV segmentation method using dynamic programming, showing high accuracy and speed on scDNA datasets.

scSVAS provides an online platform for real-time interactive visualization of single-cell copy number variation data, enabling efficient analysis and sharing of large-scale genomics results.

I-Impute is a self-consistent imputation method for scRNA-seq data that outperforms existing tools in correlation and clustering accuracy on both simulated and real datasets.