| Prediction of gene expression patterns with generalized linear regression model S Liu, M Lu, H Li, Y Zuo Frontiers in Genetics 10, 120, 2019 | 160 | 2019 |
| Machine learning of single-cell transcriptome highly identifies mRNA signature by comparing F-score selection with DGE analysis P Liang, W Yang, X Chen, C Long, L Zheng, H Li, Y Zuo Molecular Therapy-Nucleic Acids 20, 155-163, 2020 | 32 | 2020 |
| eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition H Wang, P Liang, L Zheng, CS Long, HS Li, Y Zuo Bioinformatics 37 (15), 2157-2164, 2021 | 28 | 2021 |
| The spatial binding model of the pioneer factor Oct4 with its target genes during cell reprogramming H Li, N Ta, C Long, Q Zhang, S Li, L Yang, Y Zuo Computational and structural biotechnology journal 17, 1226-1233, 2019 | 25 | 2019 |
| Analysis of the epigenetic signature of cell reprogramming by computational DNA methylation profiles Y Zuo, M Song, H Li, X Chen, P Cao, L Zheng, G Cao Current Bioinformatics 15 (6), 589-599, 2020 | 23 | 2020 |
| Dppa2/4 as a trigger of signaling pathways to promote zygote genome activation by binding to CG-rich region H Li, C Long, J Xiang, P Liang, X Li, Y Zuo Briefings in bioinformatics 22 (4), bbaa342, 2021 | 21 | 2021 |
| A comparative analysis of single-cell transcriptome identifies reprogramming driver factors for efficiency improvement H Li, M Song, W Yang, P Cao, L Zheng, Y Zuo Molecular Therapy-Nucleic Acids 19, 1053-1064, 2020 | 18 | 2020 |
| Characterization of DNA methylation patterns and mining of epigenetic markers during genomic reprogramming in SCNT embryos P Cao, H Li, Y Zuo, B Nashun Frontiers in Cell and Developmental Biology 8, 570107, 2020 | 17 | 2020 |
| Reprogramming barriers in bovine cells nuclear transfer revealed by single‐cell RNA‐seq analysis L Zhao, C Long, G Zhao, J Su, J Ren, W Sun, Z Wang, J Zhang, M Liu, ... Journal of cellular and molecular medicine 26 (18), 4792-4804, 2022 | 11 | 2022 |
| Mining key regulators of cell reprogramming and prediction research based on deep learning neural networks N Ta, H Li, S Liu, Y Zuo IEEE Access 8, 23179-23185, 2020 | 7 | 2020 |
| Competitive binding of TET1 and DNMT3A/B cooperates the DNA methylation pattern in human embryonic stem cells L Chao, S Yang, H Li, C Long, Q Xi, Y Zuo Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms 1865 (7), 194861, 2022 | 6 | 2022 |
| The cumulative formation of R-loop Interacts with histone modifications to shape cell reprogramming H Li, C Long, Y Hong, L Chao, Y Peng, Y Zuo International Journal of Molecular Sciences 23 (3), 1567, 2022 | 6 | 2022 |
| Characterized the diversity of ABCB1 subtypes in immunogenomic landscape for predicting the drug response in breast cancer M Chi, Q Xi, D Su, H Li, N Wei, X Shi, S Wang, Y Zuo, L Yang Methods 204, 223-233, 2022 | 3 | 2022 |
| Nuclear transfer arrest embryos show massive dysregulation of genes involved in transcription pathways C Long, H Li, X Li, W Yang, Y Zuo International Journal of Molecular Sciences 22 (15), 8187, 2021 | 3 | 2021 |
| Deep learning-based transcription factor activity for stratification of breast cancer patients Y Xiong, S Wang, H Wei, H Li, Y Lv, M Chi, D Su, Q Lu, Y Yu, Y Zuo, ... Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms 1865 (6), 194838, 2022 | 1 | 2022 |
