| Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network G Zhang, C Pian, Z Chen, J Zhang, M Xu, L Zhang, Y Chen PloS one 13 (5), e0196681, 2018 | 81 | 2018 |
| MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model C Pian, G Zhang, F Li, X Fan Bioinformatics 36 (2), 388-392, 2020 | 66 | 2020 |
| LncRNApred: Classification of long non-coding RNAs and protein-coding transcripts by the ensemble algorithm with a new hybrid feature C Pian, G Zhang, Z Chen, Y Chen, J Zhang, T Yang, L Zhang PloS one 11 (5), e0154567, 2016 | 61 | 2016 |
| Deep6mA: a deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species Z Li, H Jiang, L Kong, Y Chen, K Lang, X Fan, L Zhang, C Pian PLoS computational biology 17 (2), e1008767, 2021 | 40 | 2021 |
| Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture Z Li, J Fang, S Wang, L Zhang, Y Chen, C Pian Briefings in Bioinformatics 23 (2), bbac037, 2022 | 30 | 2022 |
| LncCeRBase: a database of experimentally validated human competing endogenous long non-coding RNAs C Pian, G Zhang, T Tu, X Ma, F Li Database 2018, bay061, 2018 | 22 | 2018 |
| SOMM4mC: a second-order Markov model for DNA N4-methylcytosine site prediction in six species J Yang, K Lang, G Zhang, X Fan, Y Chen, C Pian Bioinformatics 36 (14), 4103-4105, 2020 | 21 | 2020 |
| NcPath: A novel platform for visualization and enrichment analysis of human non-coding RNA and KEGG signaling pathways Z Li, Y Zhang, J Fang, Z Xu, H Zhang, M Mao, Y Chen, L Zhang, C Pian Bioinformatics 39 (1), btac812, 2023 | 19 | 2023 |
| miR+ Pathway: the integration and visualization of miRNA and KEGG pathways C Pian, G Zhang, L Gao, X Fan, F Li Briefings in bioinformatics 21 (2), 699-708, 2020 | 18 | 2020 |
| EpiMOGA: an epistasis detection method based on a multi-objective genetic algorithm Y Chen, F Xu, C Pian, M Xu, L Kong, J Fang, Z Li, L Zhang Genes 12 (2), 191, 2021 | 13 | 2021 |
| Promoter recognition based on the maximum entropy hidden Markov model X Zhao, J Zhang, Y Chen, Q Li, T Yang, C Pian, L Zhang Computers in Biology and Medicine 51, 73-81, 2014 | 12 | 2014 |
| Discovering cancer-related miRNAs from miRNA-target interactions by support vector machines C Pian, S Mao, G Zhang, J Du, F Li, SY Leung, X Fan Molecular Therapy-Nucleic Acids 19, 1423-1433, 2020 | 11 | 2020 |
| MiRLoc: predicting miRNA subcellular localization by incorporating miRNA–mRNA interactions and mRNA subcellular localization M Xu, Y Chen, Z Xu, L Zhang, H Jiang, C Pian Briefings in Bioinformatics 23 (2), bbac044, 2022 | 10 | 2022 |
| Identifying RNA N6-methyladenine sites in three species based on a Markov model C Pian, Z Yang, Y Yang, L Zhang, Y Chen Frontiers in genetics 12, 650803, 2021 | 10 | 2021 |
| Mining influential genes based on deep learning L Kong, Y Chen, F Xu, M Xu, Z Li, J Fang, L Zhang, C Pian BMC bioinformatics 22, 1-12, 2021 | 9 | 2021 |
| V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature C Pian, YY Chen, J Zhang, Z Chen, GL Zhang, Q Li, T Yang, LY Zhang Journal of Bioinformatics and Computational Biology 15 (01), 1650046, 2017 | 8 | 2017 |
| PlantBind: an attention-based multi-label neural network for predicting plant transcription factor binding sites W Yan, Z Li, C Pian, Y Wu Briefings in Bioinformatics 23 (6), bbac425, 2022 | 7 | 2022 |
| SPMLMI: predicting lncRNA–miRNA interactions in humans using a structural perturbation method M Xu, Y Chen, W Lu, L Kong, J Fang, Z Li, L Zhang, C Pian PeerJ 9, e11426, 2021 | 7 | 2021 |
| Personalized analysis of breast cancer using sample-specific networks K Zhu, C Pian, Q Xiang, X Liu, Y Chen PeerJ 8, e9161, 2020 | 6 | 2020 |
| Pathway-based personalized analysis of Pan-Cancer transcriptomic data C Pian, M He, Y Chen Biomedicines 9 (11), 1502, 2021 | 5 | 2021 |
Xiaodan Fan (Dan) 樊晓丹Professor of Statistics, The Chinese University of Hong Kong在 sta.cuhk.edu.hk 的电子邮件经过验证
Xiaodan Fan (Dan) 樊晓丹Professor of Statistics, The Chinese University of Hong Kong在 sta.cuhk.edu.hk 的电子邮件经过验证