| CpG island methylation pattern in different human tissues and its correlation with gene expression S Fan, X Zhang Biochemical and biophysical research communications 383 (4), 421-425, 2009 | 166 | 2009 |
| Joint-specific DNA methylation and transcriptome signatures in rheumatoid arthritis identify distinct pathogenic processes R Ai, D Hammaker, DL Boyle, R Morgan, AM Walsh, S Fan, GS Firestein, ... Nature communications 7 (1), 11849, 2016 | 138 | 2016 |
| Predicting methylation status of CpG islands in the human brain F Fang, S Fan, X Zhang, MQ Zhang Bioinformatics 22 (18), 2204-2209, 2006 | 138 | 2006 |
| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Nature biotechnology 28 (8), 827-838, 2010 | 131 | 2010 |
| Histone methylation marks play important roles in predicting the methylation status of CpG islands S Fan, MQ Zhang, X Zhang Biochemical and biophysical research communications 374 (3), 559-564, 2008 | 73 | 2008 |
| Methods for genome-wide DNA methylation analysis in human cancer S Fan, W Chi Briefings in Functional Genomics, elw010, 2016 | 50 | 2016 |
| MRCNN: a deep learning model for regression of genome-wide DNA methylation Q Tian, J Zou, J Tang, Y Fang, Z Yu, S Fan BMC genomics 20, 1-10, 2019 | 49 | 2019 |
| Predicting CpG methylation levels by integrating Infinium HumanMethylation450 BeadChip array data S Fan, K Huang, R Ai, M Wang, W Wang Genomics 107 (4), 132-137, 2016 | 42 | 2016 |
| Sensor Fault detection and fault tolerant control of induction motor drivers for electric vehicles S Fan, J Zou Proceedings of the 7th International Power Electronics and Motion Control …, 2012 | 39 | 2012 |
| Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications M Su, T Pan, QZ Chen, WW Zhou, Y Gong, G Xu, HY Yan, S Li, QZ Shi, ... Military Medical Research 9 (1), 68, 2022 | 37 | 2022 |
| Identification of DNA motifs that regulate DNA methylation M Wang, K Zhang, V Ngo, C Liu, S Fan, JW Whitaker, Y Chen, R Ai, ... Nucleic Acids Research 47 (13), 6753-6768, 2019 | 37 | 2019 |
| Integrative analysis with expanded DNA methylation data reveals common key regulators and pathways in cancers S Fan, J Tang, N Li, Y Zhao, R Ai, K Zhang, M Wang, W Du, W Wang NPJ genomic medicine 4 (1), 2, 2019 | 37 | 2019 |
| A hybrid speed sensorless control strategy for PMSM Based on MRAS and Fuzzy Control S Fan, W Luo, J Zou, G Zheng Proceedings of the 7th International Power Electronics and Motion Control …, 2012 | 33 | 2012 |
| A class-aware supervised contrastive learning framework for imbalanced fault diagnosis J Zhang, J Zou, Z Su, J Tang, Y Kang, H Xu, Z Liu, S Fan Knowledge-Based Systems 252, 109437, 2022 | 31 | 2022 |
| Computationally expanding infinium HumanMethylation450 BeadChip array data to reveal distinct DNA methylation patterns of rheumatoid arthritis S Fan, C Li, R Ai, M Wang, GS Firestein, W Wang Bioinformatics 32 (12), 1773-1778, 2016 | 31 | 2016 |
| Supervised contrastive learning for recommendation C Yang, J Zou, JH Wu, H Xu, S Fan Knowledge-Based Systems 258, 109973, 2022 | 28 | 2022 |
| A quadruplet deep metric learning model for imbalanced time-series fault diagnosis X Gui, J Zhang, J Tang, H Xu, J Zou, S Fan Knowledge-Based Systems 238, 107932, 2022 | 27 | 2022 |
| Putative zinc finger protein binding sites are over-represented in the boundaries of methylation-resistant CpG islands in the human genome S Fan, F Fang, X Zhang, MQ Zhang PloS one 2 (11), e1184, 2007 | 27 | 2007 |
| A novel fault diagnosis method based on stacked LSTM Q Zhang, J Zhang, J Zou, S Fan IFAC-PapersOnLine 53 (2), 790-795, 2020 | 26 | 2020 |
| Characterizing the microenvironment surrounding phosphorylated protein sites SC Fan, XG Zhang Genomics, Proteomics and Bioinformatics 3 (4), 213-217, 2005 | 21 | 2005 |
