Bioinformatics approaches for deciphering the epitranscriptome: recent progress and emerging topics L Liu, B Song, J Ma, Y Song, SY Zhang, Y Tang, X Wu, Z Wei, K Chen, ... Computational and structural biotechnology journal 18, 1587-1604, 2020 | 50 | 2020 |
QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model L Liu, SW Zhang, Y Huang, J Meng BMC bioinformatics 18, 1-12, 2017 | 44 | 2017 |
m6A-Driver: Identifying Context-Specific mRNA m6A Methylation-Driven Gene Interaction Networks SY Zhang, SW Zhang, L Liu, J Meng, Y Huang PLoS computational biology 12 (12), e1005287, 2016 | 42 | 2016 |
Decomposition of RNA methylome reveals co-methylation patterns induced by latent enzymatic regulators of the epitranscriptome L Liu, SW Zhang, YC Zhang, H Liu, L Zhang, R Chen, Y Huang, J Meng Molecular BioSystems 11 (1), 262-274, 2015 | 28 | 2015 |
WITMSG: large-scale prediction of human intronic m6A RNA methylation sites from sequence and genomic features L Liu, X Lei, J Meng, Z Wei Current Genomics 21 (1), 67-76, 2020 | 22 | 2020 |
LITHOPHONE: improving lncRNA methylation site prediction using an ensemble predictor L Liu, X Lei, Z Fang, Y Tang, J Meng, Z Wei Frontiers in genetics 11, 545, 2020 | 20 | 2020 |
Predicting metabolite–disease associations based on LightGBM model C Zhang, X Lei, L Liu Frontiers in Genetics 12, 660275, 2021 | 17 | 2021 |
Spatially enhanced differential RNA methylation analysis from affinity-based sequencing data with hidden Markov model YC Zhang, SW Zhang, L Liu, H Liu, L Zhang, X Cui, Y Huang, J Meng BioMed research international 2015, 2015 | 15 | 2015 |
DRME: count-based differential RNA methylation analysis at small sample size scenario L Liu, SW Zhang, F Gao, Y Zhang, Y Huang, R Chen, J Meng Analytical Biochemistry 499, 15-23, 2016 | 14 | 2016 |
circ2CBA: prediction of circRNA-RBP binding sites combining deep learning and attention mechanism Y Guo, X Lei, L Liu, Y Pan Frontiers of Computer Science 17 (5), 175904, 2023 | 11 | 2023 |
ISGm1A: Integration of Sequence Features and Genomic Features to Improve the Prediction of Human m1A RNA Methylation Sites L Liu, X Lei, J Meng, Z Wei Ieee Access 8, 81971-81977, 2020 | 11 | 2020 |
Drug repositioning based on heterogeneous networks and variational graph autoencoders S Lei, X Lei, L Liu Frontiers in Pharmacology 13, 1056605, 2022 | 3 | 2022 |