| iLoc-lncRNA: predict the subcellular location of lncRNAs by incorporating octamer composition into general PseKNC ZD Su, Y Huang, ZY Zhang, YW Zhao, D Wang, W Chen, KC Chou, H Lin Bioinformatics 34 (24), 4196-4204, 2018 | 279 | 2018 |
| An immune-related six-lncRNA signature to improve prognosis prediction of glioblastoma multiforme M Zhou, Z Zhang, H Zhao, S Bao, L Cheng, J Sun Molecular neurobiology 55, 3684-3697, 2018 | 217 | 2018 |
| iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators CQ Feng, ZY Zhang, XJ Zhu, Y Lin, W Chen, H Tang, H Lin Bioinformatics 35 (9), 1469-1477, 2019 | 202 | 2019 |
| iProEP: a computational predictor for predicting promoter HY Lai, ZY Zhang, ZD Su, W Su, H Ding, W Chen, H Lin Molecular Therapy-Nucleic Acids 17, 337-346, 2019 | 146 | 2019 |
| DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism D Wang, Z Zhang, Y Jiang, Z Mao, D Wang, H Lin, D Xu Nucleic acids research 49 (8), e46-e46, 2021 | 135 | 2021 |
| Comprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer M Zhou, Y Sun, Y Sun, W Xu, Z Zhang, H Zhao, Z Zhong, J Sun Oncotarget 7 (22), 32433, 2016 | 133 | 2016 |
| Design powerful predictor for mRNA subcellular location prediction in Homo sapiens ZY Zhang, YH Yang, H Ding, D Wang, W Chen, H Lin Briefings in Bioinformatics 22 (1), 526-535, 2021 | 128 | 2021 |
| Early diagnosis of hepatocellular carcinoma using machine learning method ZM Zhang, JX Tan, F Wang, FY Dao, ZY Zhang, H Lin Frontiers in bioengineering and biotechnology 8, 254, 2020 | 92 | 2020 |
| Discovery of potential prognostic long non-coding RNA biomarkers for predicting the risk of tumor recurrence of breast cancer patients M Zhou, L Zhong, W Xu, Y Sun, Z Zhang, H Zhao, L Yang, J Sun Scientific reports 6 (1), 31038, 2016 | 92 | 2016 |
| iBLP: An XGBoost‐Based Predictor for Identifying Bioluminescent Proteins D Zhang, HD Chen, H Zulfiqar, SS Yuan, QL Huang, ZY Zhang, KJ Deng Computational and Mathematical Methods in Medicine 2021 (1), 6664362, 2021 | 85 | 2021 |
| A potential panel of six-long non-coding RNA signature to improve survival prediction of diffuse large-B-cell lymphoma J Sun, L Cheng, H Shi, Z Zhang, H Zhao, Z Wang, M Zhou Scientific reports 6 (1), 27842, 2016 | 76 | 2016 |
| A novel lncRNA-focus expression signature for survival prediction in endometrial carcinoma M Zhou, Z Zhang, H Zhao, S Bao, J Sun BMC cancer 18, 1-11, 2018 | 61 | 2018 |
| AcrPred: a hybrid optimization with enumerated machine learning algorithm to predict anti-CRISPR proteins FY Dao, ML Liu, W Su, H Lv, ZY Zhang, H Lin, L Liu International journal of biological macromolecules 228, 706-714, 2023 | 48 | 2023 |
| iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism ZY Zhang, L Ning, X Ye, YH Yang, Y Futamura, T Sakurai, H Lin Briefings in Bioinformatics 23 (5), bbac395, 2022 | 47 | 2022 |
| Towards a better prediction of subcellular location of long non-coding RNA ZY Zhang, ZJ Sun, YH Yang, H Lin Frontiers of Computer Science 16, 1-7, 2022 | 38 | 2022 |
| iThermo: a sequence-based model for identifying thermophilic proteins using a multi-feature fusion strategy Z Ahmed, H Zulfiqar, AA Khan, I Gul, FY Dao, ZY Zhang, XL Yu, L Tang Frontiers in Microbiology 13, 790063, 2022 | 34 | 2022 |
| A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery H Wang, Z Zhang, H Li, J Li, H Li, M Liu, P Liang, Q Xi, Y Xing, L Yang, ... Cell & Bioscience 13 (1), 41, 2023 | 29 | 2023 |
| A brief survey of machine learning application in cancerlectin identification HY Lai, CQ Feng, ZY Zhang, H Tang, W Chen, H Lin Current gene therapy 18 (5), 257-267, 2018 | 27 | 2018 |
| Identification of adaptor proteins using the ANOVA feature selection technique YH Wang, YF Zhang, Y Zhang, ZF Gu, ZY Zhang, H Lin, KJ Deng Methods 208, 42-47, 2022 | 18 | 2022 |
| BDselect: a package for k-mer selection based on the binomial distribution FY Dao, H Lv, ZY Zhang, H Lin Current Bioinformatics 17 (3), 238-244, 2022 | 16 | 2022 |
