Exploiting deep transfer learning for the prediction of functional non-coding variants using genomic sequence. - Li Chen 029; Ye Wang 024; Fengdi Zhao (Bioinform., 2022)

TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions. - Aman Agarwal; Fengdi Zhao; Yuchao Jiang; Li Chen 029 (Bioinform., 2023)

scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data. - Fengdi Zhao; Xin Ma; Bing Yao; Qing Lu; Li Chen 029 (PLoS Comput. Biol., 2024)