Scm6A: A fast and low-cost method for quantifying m6A modifications at the single-cell level
Yue-Qi Li, Jingyi Li, Wenxing Li, Shuaiyi Liang, Wudi Wei, Jiemei Chu, Jingzhen Lai, Yao Lin, Hubin Chen, Jinming Su, Xiaopeng Hu, Gang Wang, Jun Meng, Junjun Jiang, Li Ye, Sanqi An
Scm6A is a machine learning method for single-cell m6A quantification, validated against m6A-seq and showing strong correlation in T-cells and disease samples.
Genomics Proteomics & Bioinformatics · Jun 7, 2024Peer-reviewedBioinformatics