| Tissue expression difference between mRNAs and lncRNAs L Chen, YH Zhang, X Pan, M Liu, S Wang, T Huang, YD Cai International journal of molecular sciences 19 (11), 3416, 2018 | 64 | 2018 |
| iATC-FRAKEL: a simple multi-label web server for recognizing anatomical therapeutic chemical classes of drugs with their fingerprints only JP Zhou, L Chen, T Wang, M Liu Bioinformatics 36 (11), 3568-3569, 2020 | 53 | 2020 |
| Identification of synthetic lethality based on a functional network by using machine learning algorithms JR Li, L Lu, YH Zhang, M Liu, L Chen, T Huang, YD Cai Journal of cellular biochemistry 120 (1), 405-416, 2019 | 52 | 2019 |
| Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine JR Li, L Lu, YH Zhang, YC Xu, M Liu, KY Feng, L Chen, XY Kong, ... Cancer Gene Therapy 27 (1), 56-69, 2020 | 47 | 2020 |
| Classification of widely and rarely expressed genes with recurrent neural network L Chen, XY Pan, YH Zhang, M Liu, T Huang, YD Cai Computational and structural biotechnology journal 17, 49-60, 2019 | 42 | 2019 |
| Identifying protein subcellular locations with embeddings-based node2loc X Pan, L Chen, M Liu, Z Niu, T Huang, YD Cai IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2 …, 2021 | 37 | 2021 |
| Identification of genes related to proliferative diabetic retinopathy through RWR algorithm based on protein–protein interaction network J Zhang, Y Suo, M Liu, X Xu Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease 1864 (6 …, 2018 | 29 | 2018 |
| Succinylation site prediction based on protein sequences using the IFS-LightGBM (BO) model L Zhang, M Liu, X Qin, G Liu Computational and Mathematical Methods in Medicine 2020, 2020 | 20 | 2020 |
| DNN-m6A: a cross-species method for identifying RNA N6-methyladenosine sites based on deep neural network with multi-information fusion L Zhang, X Qin, M Liu, Z Xu, G Liu Genes 12 (3), 354, 2021 | 19 | 2021 |
| bSiteFinder, an improved protein-binding sites prediction server based on structural alignment: more accurate and less time-consuming J Gao, Q Zhang, M Liu, L Zhu, D Wu, Z Cao, R Zhu Journal of Cheminformatics 8, 1-10, 2016 | 18 | 2016 |
| BERT-m7G: a transformer architecture based on BERT and stacking ensemble to identify RNA N7-Methylguanosine sites from sequence information L Zhang, X Qin, M Liu, G Liu, Y Ren Computational and Mathematical Methods in Medicine 2021, 2021 | 15 | 2021 |
| Structural protein fold recognition based on secondary structure and evolutionary information using machine learning algorithms X Qin, M Liu, L Zhang, G Liu Computational Biology and Chemistry 91, 107456, 2021 | 10 | 2021 |
| iMPT-FRAKEL: a simple multi-label web-server that only uses fingerprints to identify which metabolic pathway types compounds can participate in Y Jia, L Chen, JP Zhou, M Liu The Open Bioinformatics Journal 13 (1), 2020 | 7 | 2020 |
| Relating substructures and side effects of drugs with chemical-chemical interactions B Zhou, X Zhao, J Lu, Z Sun, M Liu, Y Zhou, R Liu, Y Wang Combinatorial chemistry & high throughput screening 23 (4), 285-294, 2020 | 5 | 2020 |
| Predicting protein ligand binding sites with structure alignment method on hadoop G Liu, M Liu, D Chen, L Chen, J Zhu, B Zhou, J Gao Current Proteomics 13 (2), 113-121, 2016 | 5 | 2016 |
| Prediction of citrullination sites on the basis of mRMR method and SNN M Liu, G Liu Combinatorial Chemistry & High Throughput Screening 22 (10), 705-715, 2019 | 4 | 2019 |
| Predicting protein subcellular location using learned distributed representations from a protein-protein network X Pan, L Chen, M Liu, T Huang, YD Cai BioRxiv, 768739, 2019 | 3 | 2019 |
| ASFold-DNN: protein fold recognition based on evolutionary features with variable parameters using full connected neural network X Qin, L Zhang, M Liu, Z Xu, G Liu IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021 | 2 | 2021 |
