| Long-read-based human genomic structural variation detection with cuteSV T Jiang, Y Liu, Y Jiang, J Li, Y Gao, Z Cui, Y Liu, B Liu, Y Wang Genome biology 21, 1-24, 2020 | 206 | 2020 |
| deSALT: fast and accurate long transcriptomic read alignment with de Bruijn graph-based index B Liu, Y Liu, J Li, H Guo, T Zang, Y Wang Genome biology 20, 1-14, 2019 | 46 | 2019 |
| Deep learning driven drug discovery: tackling severe acute respiratory syndrome coronavirus 2 Y Zhang, T Ye, H Xi, M Juhas, J Li Frontiers in Microbiology 12, 739684, 2021 | 34 | 2021 |
| Hyperlipidemia-associated gene variations and expression patterns revealed by whole-genome and transcriptome sequencing of rabbit models Z Wang, J Zhang, H Li, J Li, M Niimi, G Ding, H Chen, J Xu, H Zhang, Z Xu, ... Scientific reports 6 (1), 26942, 2016 | 29 | 2016 |
| Deep learning for microscopic examination of protozoan parasites C Zhang, H Jiang, H Jiang, H Xi, B Chen, Y Liu, M Juhas, J Li, Y Zhang Computational and Structural Biotechnology Journal 20, 1036-1043, 2022 | 24 | 2022 |
| Differential regulatory analysis based on coexpression network in cancer research J Li, YX Li, YY Li BioMed research international 2016, 2016 | 24 | 2016 |
| Pan-cancer classification based on self-normalizing neural networks and feature selection J Li, Q Xu, M Wu, T Huang, Y Wang Frontiers in Bioengineering and Biotechnology 8, 766, 2020 | 21 | 2020 |
| Smilegnn: drug–drug interaction prediction based on the smiles and graph neural network X Han, R Xie, X Li, J Li Life 12 (2), 319, 2022 | 20 | 2022 |
| Correction of out-of-focus microscopic images by deep learning C Zhang, H Jiang, W Liu, J Li, S Tang, M Juhas, Y Zhang Computational and Structural Biotechnology Journal 20, 1957-1966, 2022 | 19 | 2022 |
| Integrated entropy-based approach for analyzing exons and introns in DNA sequences J Li, L Zhang, H Li, Y Ping, Q Xu, R Wang, R Tan, Z Wang, B Liu, Y Wang BMC bioinformatics 20, 1-7, 2019 | 19 | 2019 |
| deGSM: memory scalable construction of large scale de Bruijn Graph LB Guo H, Fu Y, Gao Y, Li J, Wang Y IEEE/ACM Trans Comput Biol Bioinform, 2019 | 19 | 2019 |
| Integrated analysis of transcriptome in cancer patient-derived xenografts H Li, Y Zhu, X Tang, J Li, Y Li, Z Zhong, G Ding, Y Li PLoS One 10 (5), e0124780, 2015 | 14 | 2015 |
| ScGSLC: an unsupervised graph similarity learning framework for single-cell RNA-seq data clustering J Li, W Jiang, H Han, J Liu, B Liu, Y Wang Computational Biology and Chemistry 90, 107415, 2021 | 13 | 2021 |
| rMETL: sensitive mobile element insertion detection with long read realignment T Jiang, B Liu, J Li, Y Wang Bioinformatics 35 (18), 3484-3486, 2019 | 13 | 2019 |
| Differential regulation analysis reveals dysfunctional regulatory mechanism involving transcription factors and microRNAs in gastric carcinogenesis QX Li, J Li, W Dai, YX Li, YY Li Artificial intelligence in medicine 77, 12-22, 2017 | 13 | 2017 |
| A novel integrated gene coexpression analysis approach reveals a prognostic three-transcription-factor signature for glioma molecular subtypes S Wu, J Li, M Cao, J Yang, YX Li, YY Li BMC Systems Biology 10, 369-380, 2016 | 13 | 2016 |
| Factor graph-aggregated heterogeneous network embedding for disease-gene association prediction M He, C Huang, B Liu, Y Wang, J Li BMC bioinformatics 22, 1-15, 2021 | 12 | 2021 |
| Prognostic prediction of carcinoma by a differential-regulatory-network-embedded deep neural network J Li, Y Ping, H Li, H Li, Y Liu, B Liu, Y Wang Computational Biology and Chemistry 88, 107317, 2020 | 10 | 2020 |
| The safety of ovarian preservation in stage i endometrial endometrioid adenocarcinoma based on propensity score matching T Hou, Y Sun, J Li, C Liu, Z Wang, Y Li, Y Lu Combinatorial Chemistry & High Throughput Screening 20 (7), 647-655, 2017 | 10 | 2017 |
| Evidence for widespread exonic small RNAs in the glaucophyte alga Cyanophora paradoxa J Gross, S Wajid, DC Price, E Zelzion, J Li, CX Chan, D Bhattacharya PLoS One 8 (7), e67669, 2013 | 10 | 2013 |
Tao JiangHarbin Institute of TechnologyVerified email at hit.edu.cn
