| A 472-SNP panel for pairwise kinship testing of second-degree relatives SK Mo, ZL Ren, YR Yang, YC Liu, JJ Zhang, HJ Wu, Z Li, XC Bo, ... Forensic Science International: Genetics 34, 178-185, 2018 | 60 | 2018 |
| CancerVar: An artificial intelligence–empowered platform for clinical interpretation of somatic mutations in cancer Q Li, Z Ren, K Cao, MM Li, K Wang, Y Zhou Science advances 8 (18), eabj1624, 2022 | 34 | 2022 |
| Forensic nanopore sequencing of STRs and SNPs using Verogen’s ForenSeq DNA signature prep kit and MinION ZL Ren, JR Zhang, XM Zhang, X Liu, YF Lin, H Bai, MC Wang, F Cheng, ... International journal of legal medicine 135 (5), 1685-1693, 2021 | 33 | 2021 |
| Rapid PCR-based nanopore adaptive sequencing improves sensitivity and timeliness of viral clinical detection and genome surveillance Y Lin, Y Dai, Y Liu, Z Ren, H Guo, Z Li, J Li, K Wang, L Yang, S Zhang, ... Frontiers in Microbiology 13, 929241, 2022 | 17 | 2022 |
| Elimination of foreign sequences in eukaryotic viral reference genomes improves the accuracy of virome analysis J Chen, Y Sun, X Yan, Z Ren, G Wang, Y Liu, Z Zhao, L Yi, C Tu, B He Msystems 7 (6), e00907-22, 2022 | 10 | 2022 |
| THPLM: a sequence-based deep learning framework for protein stability changes prediction upon point variations using pretrained protein language model J Gong, L Jiang, Y Chen, Y Zhang, X Li, Z Ma, Z Fu, F He, P Sun, Z Ren, ... Bioinformatics 39 (11), btad646, 2023 | 8 | 2023 |
| Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data Z Ren, Q Li, K Cao, MM Li, Y Zhou, K Wang BMC bioinformatics 24 (1), 43, 2023 | 8 | 2023 |
| CodonBERT: a BERT-based architecture tailored for codon optimization using the cross-attention mechanism Z Ren, L Jiang, Y Di, D Zhang, J Gong, J Gong, Q Jiang, Z Fu, P Sun, ... Bioinformatics, btae330, 2024 | 4 | 2024 |
| De-heterogeneity of the eukaryotic viral reference database (EVRD) improves the accuracy and efficiency of viromic analysis J Chen, X Yan, Y Sun, Z Ren, G Yan, G Wang, Y Liu, Z Zhao, Y Liu, C Tu, ... bioRxiv, 2022.03. 03.482774, 2022 | 3 | 2022 |
| Nanopore sequencing of forensic short tandem repeats using QNome of Qitan Technology TT Yang, JR Zhang, ZH Xie, ZL Ren, JW Yan, M Ni Electrophoresis, 2024 | 2 | 2024 |
| Actual mutational research of 19 autosomal STRs based on restricted mutation model and big data. ZY Liu, H Ren, C Chen, JJ Zhang, XM Zhang, Y Shi, LY Shi, Y Chen, ... Yi Chuan= Hereditas 43 (10), 949-961, 2021 | 2 | 2021 |
| NASTRA: Accurate analysis of short tandem repeat markers by nanopore sequencing with repeat-structure-aware algorithm Z Ren, J Zhang, Y Zhang, T Yang, P Sun, J Xue, X Bo, B Zhou, J Yan, ... bioRxiv, 2023.11. 04.565630, 2023 | 1 | 2023 |
| NASTRA: Innovative Short Tandem Repeat Analysis through Cluster-Based Structure-Aware Algorithm in Nanopore Sequencing Data Z Ren, J Zhang, Y Zhang, P Sun, J Xue, M Ni, J Yan | 1 | 2023 |
| MTNA: A deep learning based predictor for identifying multiple types of N-terminal protein acetylated sites. Y Chen, W Qin, T Liu, R Li, F He, Y Han, Z Ma, Z Ren Electronic Research Archive 31 (9), 2023 | 1 | 2023 |
| Correction: Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data Z Ren, Q Li, K Cao, MM Li, Y Zhou, K Wang BMC bioinformatics 23 (Suppl 3), 2022 | 1 | 2022 |
| Rapid sequencing and identification for 18-STRs long amplicon panel using portable devices and nanopore sequencer J Zhang, T Yang, Z Xie, Z Ren, L Shi, J Yan, M Ni Genomics 117 (1), 110970, 2025 | | 2025 |
| A benchmark for evaluation of structure-based online tools for antibody-antigen binding affinity J Xu, J Gong, X Bo, Y Tong, Z Ren, M Ni Biophysical Chemistry 311, 107253, 2024 | | 2024 |
| PLMTHP: An Ensemble Framework for Tumor Homing Peptide Prediction based on Protein Language Model Y Chen, H Qin, X Cui, T Yang, P Sun, J Gong, Z Ren 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Model performance and interpretability of semi-supervised generative adversarial networks to predict oncogenic variants with unlabeled data (vol 24, 43, 2023) Z Ren, Q Li, K Cao, MM Li, Y Zhou, K Wang BMC BIOINFORMATICS 23 (SUPPL 3), 2023 | | 2023 |
| Deciphering and identifying pan-cancer RAS pathway activation based on graph autoencoder and ClassifierChain J Gong, Y Zhao, X Heng, Y Chen, P Sun, F He, Z Ma, Z Ren Electronic Research Archive 31 (8), 4951-4967, 2023 | | 2023 |
