教育经历

2014-2018 中国科学院大学 生物学 学士 辅修计算机

2018-2024 复旦大学 生物学 博士

发表文章

An, S., Lu, M., Wang, R., Wang, J., Jiang, H., Xie, C., ... & Yu, C. (2024). Ion entropy and accurate entropy-based FDR estimation in metabolomics. Briefings in Bioinformatics, 25(2), bbae056.

An, S., Wang, R., Lu, M., Zhang, C., Liu, H., Wang, J., ... & Yu, C. (2023). MetaPro: a web-based metabolomics application for LC-MS data batch inspection and library curation. Metabolomics, 19(6), 57.

Lu, M., An, S., Wang, R., Wang, J., & Yu, C. (2022). Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time. BMC bioinformatics, 23(1), 35.

Wang, R., Lu, M., An, S., Wang, J., & Yu, C. (2023). 3D-MSNet: a point cloud-based deep learning model for untargeted feature detection and quantification in profile LC-HRMS data. Bioinformatics, 39(5), btad195.

Wang, R., Lu, M., An, S., Wang, J., & Yu, C. (2023). G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics. BMC bioinformatics, 24(1), 1-17.

Tong, J., Lu, M., Wang, R., An, S., Wang, J., Wang, T., ... & Yu, C. (2023). How much storage precision can be lost: Guidance for near-lossless compression of untargeted metabolomics mass spectrometry data. Journal of Proteome Research.

Wang, J., Lu, M., Wang, R., An, S., Xie, C., & Yu, C. (2022). StackZDPD: a novel encoding scheme for mass spectrometry data optimized for speed and compression ratio. Scientific reports, 12(1), 5384.

Lu, M., Jiang, H., Wang, R., An, S., Wang, J., & Yu, C. (2023). Injectiondesign: web service of plate design with optimized stratified block randomization for modern GC/LC-MS-based sample preparation. BMC bioinformatics, 24(1), 489.

Wang, R., Jiang, H., Lu, M., Tong, J., An, S., Wang, J., & Yu, C. (2024). MRMPro: a web-based tool to improve the speed of manual calibration for multiple reaction monitoring data analysis by mass spectrometry. BMC bioinformatics, 25(1), 60.

学术项目

mQACC QA group，副主席

Bioinformatics等期刊审稿人