Yihang Bao

Dec 1, 2024 | medrxiv.org | Yihang Bao |Wanying Wang |Zhe Liu |Weidi Wang

The authors have declared no competing interest. This work was supported by grants from STI 2030 Major Projects (no. 2022ZD0209100), the National Natural Science Foundation of China (nos. 81971292 and 82150610506), the Natural Science Foundation of Shanghai (no. 21ZR1428600), the Medical-Engineering Cross Foundation of Shanghai Jiao Tong University (nos. YG2022ZD026 and YG2023ZD27), and SJTU Trans-med Awards Research (no.

Sep 8, 2024 | biorxiv.org | Zhe Liu |An Gu |Yihang Bao |Shanghai Jiao Tong

AbstractPredicting the effects of non-coding mutations on DNA methylation is crucial for advancing our understanding of gene expression, epigenetic inheritance, and its role in disease mechanisms. Current methods lack the capability to predict the impact of non-coding mutations on DNA methylation at single-cell resolution and long range, while remain challenges in tracking SNP influences throughout disease progression.

Nov 22, 2023 | biorxiv.org | Zhe Liu |Weichen Song |Yihang Bao |An Gu

AbstractMotivation: Understanding how changes in non-coding DNAs regulate gene expression remains a formidable challenge with profound implications for advancing human genetics and disease research. Accurate prediction of the up- and down-regulation of gene expression quantitative trait loci (eQTL) can offer a potential solution to expedite the identification of non-coding variants associations with phenotypes.