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2020 – today
- 2024
[j78]Ding Wang, Junru Jin
, Zhongshen Li, Yu Wang, Mushuang Fan, Sirui Liang, Ran Su, Leyi Wei:
StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides. Bioinform. 40(2) (2024)- [j77]Chenglin Yin, Ruheng Wang, Jianbo Qiao, Hua Shi, Hongliang Duan, Xinbo Jiang, Saisai Teng, Leyi Wei:
NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection. Bioinform. 40(2) (2024) - [j76]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Syst. Appl. 238(Part E): 122093 (2024) - [j75]Jianbo Qiao, Junru Jin, Haoqing Yu, Leyi Wei:
Towards retraining-free RNA modification prediction with incremental learning. Inf. Sci. 660: 120105 (2024) - [j74]Haoqing Yu, Ruheng Wang, Jianbo Qiao, Leyi Wei:
Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design. J. Chem. Inf. Model. 64(1): 316-326 (2024) - [j73]Jiashuo Zhang, Ruheng Wang, Leyi Wei:
MucLiPred: Multi-Level Contrastive Learning for Predicting Nucleic Acid Binding Residues of Proteins. J. Chem. Inf. Model. 64(3): 1050-1065 (2024) - [j72]Chao Pang, Jianbo Qiao, Xiangxiang Zeng, Quan Zou, Leyi Wei:
Deep Generative Models in De Novo Drug Molecule Generation. J. Chem. Inf. Model. 64(7): 2174-2194 (2024) - [j71]Xuetong Yang, Junru Jin, Ruheng Wang, Zhongshen Li, Yu Wang, Leyi Wei:
CACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence Only. J. Chem. Inf. Model. 64(7): 2807-2816 (2024) - [j70]Tianshuo Wang, Ruheng Wang, Leyi Wei:
AttenSyn: An Attention-Based Deep Graph Neural Network for Anticancer Synergistic Drug Combination Prediction. J. Chem. Inf. Model. 64(7): 2854-2862 (2024) - [j69]Yanxi Zhao, Junru Jin, Wenjia Gao, Jianbo Qiao, Leyi Wei:
Moss-m7G: A Motif-Based Interpretable Deep Learning Method for RNA N7-Methlguanosine Site Prediction. J. Chem. Inf. Model. 64(15): 6230-6240 (2024) - [c7]Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. MICCAI (11) 2024: 405-414 - [i10]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. CoRR abs/2403.12767 (2024) - [i9]Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. CoRR abs/2407.00431 (2024) - 2023
- [j68]Yitian Fang, Fan Xu, Lesong Wei, Yi Jiang, Jie Chen, Leyi Wei, Dong-Qing Wei:
AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning. Briefings Bioinform. 24(1) (2023) - [j67]Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j66]Cheng Wang, Chuang Yuan, Yahui Wang, Ranran Chen, Yuying Shi, Tao Zhang, Fuzhong Xue, Gary J. Patti, Leyi Wei, Qingzhen Hou:
MPI-VGAE: protein-metabolite enzymatic reaction link learning by variational graph autoencoders. Briefings Bioinform. 24(4) (2023) - [j65]Zhongshen Li, Junru Jin, Yu Wang, Wentao Long, Yuanhao Ding, Haiyan Hu, Leyi Wei:
ExamPle: explainable deep learning framework for the prediction of plant small secreted peptides. Bioinform. 39(3) (2023) - [j64]Yitian Fang, Yi Jiang, Leyi Wei, Qin Ma, Zhixiang Ren, Qianmu Yuan, Dong-Qing Wei:
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model. Bioinform. 39(12) (2023) - [j63]Jiayue Hu, Yu Wang, Chao Pang, Junru Jin, Nhat Truong Pham, Balachandran Manavalan, Leyi Wei:
DrugormerDTI: Drug Graphormer for drug-target interaction prediction. Comput. Biol. Medicine 161: 106946 (2023) - [j62]Saisai Teng, Chenglin Yin, Yu Wang, Xiandong Chen, Zhongmin Yan, Lizhen Cui, Leyi Wei:
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction. Comput. Biol. Medicine 164: 106904 (2023) - [j61]Sirui Liang, Yanxi Zhao, Junru Jin, Jianbo Qiao, Ding Wang, Yu Wang, Leyi Wei:
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications. Comput. Biol. Medicine 164: 107238 (2023) - [j60]Zhongshen Li, Junru Jin, Wentao Long, Leyi Wei:
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model. Comput. Biol. Medicine 164: 107260 (2023) - [j59]Qingxin Wei, Ruheng Wang, Yi Jiang, Leyi Wei, Yu Sun, Jie Geng, Ran Su:
ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. Comput. Biol. Medicine 167: 107631 (2023) - [j58]Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei:
MolCAP: Molecular Chemical reActivity Pretraining and prompted-finetuning enhanced molecular representation learning. Comput. Biol. Medicine 167: 107666 (2023) - [j57]Shuting Jin, Yue Hong, Li Zeng, Yinghui Jiang, Yuan Lin, Leyi Wei, Zhuohang Yu, Xiangxiang Zeng, Xiangrong Liu:
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. PLoS Comput. Biol. 19(11) (2023) - [j56]Chao Pang, Henry H. Y. Tong, Leyi Wei:
Advanced deep learning methods for molecular property prediction. Quant. Biol. 11(4): 395-404 (2023) - [c6]Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su:
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. BIBM 2023: 1188-1193 - [c5]Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen:
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. MICCAI (6) 2023: 85-94 - [i8]Yu Wang, Jingjie Zhang, Junru Jin, Leyi Wei:
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning. CoRR abs/2306.09187 (2023) - 2022
- [j55]Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei:
Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings Bioinform. 23(1) (2022) - [j54]Ran Su, Yingying Zhu, Quan Zou, Leyi Wei:
Distant metastasis identification based on optimized graph representation of gene interaction patterns. Briefings Bioinform. 23(1) (2022) - [j53]Ran Su, Yixuan Huang, De-gan Zhang, Guobao Xiao, Leyi Wei:
SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation. Briefings Bioinform. 23(2) (2022) - [j52]Hao Wu, Pengyu Zhang, Zhaoheng Ai, Leyi Wei, Hongming Zhang, Fan Yang, Lizhen Cui:
StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies. Briefings Bioinform. 23(2) (2022) - [j51]Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei:
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinform. 38(6): 1514-1524 (2022) - [j50]Ruheng Wang, Junru Jin, Quan Zou, Kenta Nakai, Leyi Wei:
Predicting protein-peptide binding residues via interpretable deep learning. Bioinform. 38(13): 3351-3360 (2022) - [j49]Qiaosen Su, Fengsheng Wang, Dong Chen, Gang Chen, Chao Li, Leyi Wei:
Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases. Comput. Biol. Medicine 150: 106054 (2022) - [j48]Jiaqi Liao, Haoyang Chen, Lesong Wei, Leyi Wei:
GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information. Comput. Biol. Medicine 150: 106145 (2022) - [j47]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images. Expert Syst. Appl. 206: 117643 (2022) - [j46]Kenta Nakai, Leyi Wei:
Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics. Frontiers Bioinform. 2 (2022) - [j45]Zhen Zhong, Guobao Xiao, Shiping Wang, Leyi Wei, Xiaoqin Zhang:
PESA-Net: Permutation-Equivariant Split Attention Network for correspondence learning. Inf. Fusion 77: 81-89 (2022) - [j44]Ran Su, Haitang Yang, Leyi Wei, Siqi Chen, Quan Zou:
A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Comput. Biol. 18(9): 1010402 (2022) - [j43]Guobao Xiao, Huan Luo, Kun Zeng, Leyi Wei, Jiayi Ma:
Robust Feature Matching for Remote Sensing Image Registration via Guided Hyperplane Fitting. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c4]Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su:
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. MICCAI (2) 2022: 3-13 - [i7]Yu Wang, Chao Pang, Yuzhe Wang, Yi Jiang, Junru Jin, Sirui Liang, Quan Zou, Leyi Wei:
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning. CoRR abs/2210.02630 (2022) - [i6]Tianling Liu, Ran Su, Changming Sun, Xiuting Li, Leyi Wei:
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images. CoRR abs/2210.05258 (2022) - [i5]Fengsheng Wang, Leyi Wei:
MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization. CoRR abs/2211.03140 (2022) - [i4]Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei:
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. CoRR abs/2212.01575 (2022) - 2021
- [j42]Feifei Cui, Quan Zou, Qin Ma, Leyi Wei, Jijun Tang, Dariusz Mrozek:
IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access 9: 33110-33119 (2021) - [j41]Ran Su, Huichen Wu, Xinyi Liu, Leyi Wei:
Predicting drug-induced hepatotoxicity based on biological feature maps and diverse classification strategies. Briefings Bioinform. 22(1): 428-437 (2021) - [j40]Jing Li, Leyi Wei, Fei Guo, Quan Zou:
EP3: an ensemble predictor that accurately identifies type III secreted effectors. Briefings Bioinform. 22(2): 1918-1928 (2021) - [j39]Chichi Dai, Pengmian Feng, Lizhen Cui, Ran Su, Wei Chen, Leyi Wei:
Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites. Briefings Bioinform. 22(4) (2021) - [j38]Ran Su, Linlin He, Tianling Liu, Xiaofeng Liu, Leyi Wei:
Protein subcellular localization based on deep image features and criterion learning strategy. Briefings Bioinform. 22(4) (2021) - [j37]Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan:
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings Bioinform. 22(4) (2021) - [j36]Jin Liu, Ran Su, Jiahang Zhang, Leyi Wei:
Classification and gene selection of triple-negative breast cancer subtype embedding gene connectivity matrix in deep neural network. Briefings Bioinform. 22(5) (2021) - [j35]Lesong Wei, Xiucai Ye, Yuyang Xue, Tetsuya Sakurai, Leyi Wei:
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. Briefings Bioinform. 22(5) (2021) - [j34]Shaherin Basith, Md. Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan:
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings Bioinform. 22(6) (2021) - [j33]Xiao Cao, Wenjia He, Zitan Chen, Yifan Li, Kexin Wang, Hongbo Zhang, Lesong Wei, Lizhen Cui, Ran Su, Leyi Wei:
PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. Briefings Bioinform. 22(6) (2021) - [j32]Yingying Yu, Wenjia He, Junru Jin, Guobao Xiao, Lizhen Cui, Rao Zeng, Leyi Wei:
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization. Bioinform. 37(24): 4603-4610 (2021) - [j31]Wenjia He, Yu Wang, Lizhen Cui, Ran Su, Leyi Wei:
Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides. Bioinform. 37(24): 4684-4693 (2021) - [j30]Zengchao Mu, Ting Yu, Xiaoping Liu, Hongyu Zheng, Leyi Wei, Juntao Liu:
FEGS: a novel feature extraction model for protein sequences and its applications. BMC Bioinform. 22(1): 297 (2021) - [j29]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Syst. Appl. 176: 114848 (2021) - [j28]Ran Su, Xiaoying Liu, Qiangguo Jin, Xiaofeng Liu, Leyi Wei:
Identification of glioblastoma molecular subtype and prognosis based on deep MRI features. Knowl. Based Syst. 232: 107490 (2021) - [i3]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. CoRR abs/2104.09699 (2021) - 2020
- [j27]Xiaoli Qiang, Chen Zhou, Xiucai Ye, Pufeng Du, Ran Su, Leyi Wei:
CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning. Briefings Bioinform. 21(1): 11-23 (2020) - [j26]Leyi Wei, Jie Hu, Fuyi Li, Jiangning Song, Ran Su, Quan Zou:
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms. Briefings Bioinform. 21(1): 106-119 (2020) - [j25]Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei:
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. Briefings Bioinform. 21(2): 408-420 (2020) - [j24]Ran Su, Xinyi Liu, Leyi Wei:
MinE-RFE: determine the optimal subset from RFE by minimizing the subset-accuracy-defined energy. Briefings Bioinform. 21(2): 687-698 (2020) - [j23]Ran Su, Xinyi Liu, Guobao Xiao, Leyi Wei:
Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction. Briefings Bioinform. 21(3): 996-1005 (2020) - [j22]Fuyi Li, Cunshuo Fan, Tatiana T. Marquez-Lago, André Leier, Jerico Nico De Leon Revote, Cangzhi Jia, Yan Zhu, Alexander Ian Smith, Geoffrey I. Webb, Quanzhong Liu, Leyi Wei, Jian Li, Jiangning Song:
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact. Briefings Bioinform. 21(3): 1069-1079 (2020) - [j21]Bing Rao, Chen Zhou, Guoying Zhang, Ran Su, Leyi Wei:
ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides. Briefings Bioinform. 21(5): 1846-1855 (2020) - [j20]Ran Su, Jiahang Zhang, Xiaofeng Liu, Leyi Wei:
Identification of expression signatures for non-small-cell lung carcinoma subtype classification. Bioinform. 36(2): 339-346 (2020) - [j19]Zengyan Hong, Xiangxiang Zeng, Leyi Wei, Xiangrong Liu:
Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism. Bioinform. 36(4): 1037-1043 (2020) - [j18]Ran Su, Tianling Liu, Changming Sun, Qiangguo Jin, Rachid Jennane, Leyi Wei:
Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing 385: 300-309 (2020)
2010 – 2019
- 2019
- [j17]Guobao Xiao, Kun Zeng, Leyi Wei, Tao Wang, Taotao Lai:
Discriminant Affinity Matrix for Deterministic Motion Trajectory Segmentation. IEEE Access 7: 57200-57209 (2019) - [j16]Leyi Wei, Shasha Luan, Luis Augusto Eijy Nagai, Ran Su, Quan Zou:
Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinform. 35(8): 1326-1333 (2019) - [j15]Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee:
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation. Bioinform. 35(16): 2757-2765 (2019) - [j14]Leyi Wei, Chen Zhou, Ran Su, Quan Zou:
PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinform. 35(21): 4272-4280 (2019) - [j13]Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi:
Iterative feature representations improve N4-methylcytosine site prediction. Bioinform. 35(23): 4930-4937 (2019) - [j12]Leyi Wei, Ran Su, Bing Wang, Xiuting Li, Quan Zou, Xing Gao:
Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites. Neurocomputing 324: 3-9 (2019) - [j11]Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. Knowl. Based Syst. 178: 149-162 (2019) - [j10]Ran Su, Huichen Wu, Bo Xu, Xiaofeng Liu, Leyi Wei:
Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1231-1239 (2019) - [j9]Leyi Wei, Pengwei Xing, Gaotao Shi, Zhiliang Ji, Quan Zou:
Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1264-1273 (2019) - [c3]Yanzhen Xu, Xiaohan Zhao, Shuai Liu, Shichao Liu, Yanqing Niu, Wen Zhang, Leyi Wei:
LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning. BIBM 2019: 555-562 - [c2]Jianhua Cai, Leyi Wei, Kun Zeng, Guobao Xiao:
Identification and Prediction of Key Nucleotide Sites Using Machine Learning in Bioinformatics: A Brief Overview. ISPA/BDCloud/SocialCom/SustainCom 2019: 1194-1200 - 2018
- [j8]Leyi Wei, Chen Zhou, Huangrong Chen, Jiangning Song, Ran Su:
ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides. Bioinform. 34(23): 4007-4016 (2018) - [j7]Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou:
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117: 212-217 (2018) - [c1]Ran Su, Weijun Chen, Leyi Wei, Xiuting Li, Qiangguo Jin, Wenyuan Tao:
Encoded Texture Features to Characterize Bone Radiograph Images. ICPR 2018: 3856-3861 - [i2]Qiangguo Jin, Zhao-Peng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. CoRR abs/1811.01206 (2018) - [i1]Qiangguo Jin, Zhao-Peng Meng, Changming Sun, Leyi Wei, Ran Su:
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans. CoRR abs/1811.01328 (2018) - 2017
- [j6]Leyi Wei, Pengwei Xing, Jian-Cang Zeng, Jin-Xiu Chen, Ran Su, Fei Guo:
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier. Artif. Intell. Medicine 83: 67-74 (2017) - [j5]Leyi Wei, Shixiang Wan, Jiasheng Guo, Kelvin Kian Loong Wong:
A novel hierarchical selective ensemble classifier with bioinformatics application. Artif. Intell. Medicine 83: 82-90 (2017) - [j4]Leyi Wei, Jijun Tang, Quan Zou:
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. Inf. Sci. 384: 135-144 (2017) - 2016
- [j3]Leyi Wei, Bowen Zhang, Zhiyong Chen, Xing Gao, Minghong Liao:
Exploring local discriminative information from evolutionary profiles for cytokine-receptor interaction prediction. Neurocomputing 217: 37-45 (2016) - [j2]Leyi Wei, Minghong Liao, Xing Gao, Jingjing Wang, Weiqi Lin:
mGOF-loc: A novel ensemble learning method for human protein subcellular localization prediction. Neurocomputing 217: 73-82 (2016) - 2014
- [j1]Leyi Wei, Minghong Liao, Yue Gao, Rongrong Ji, Zengyou He, Quan Zou:
Improved and Promising Identificationof Human MicroRNAs by Incorporatinga High-Quality Negative Set. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 192-201 (2014)
Coauthor Index
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