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Min Li 0007
Person information

- affiliation: Central South University, School of Information Science and Engineering, Changsha, China
Other persons with the same name
- Min Li — disambiguation page
- Min Li 0001 (aka: Min (Leon) Li) — IMEC, Heverlee, Belgium
- Min Li 0002 — George Mason University, Department of Geography and Geoinformation Science, Fairfax, VA, USA (and 1 more)
- Min Li 0003
— Xi'an Jiaotong University, School of Mechanical Engineering, China (and 2 more)
- Min Li 0004
— East China University of Science and Technology, Department of Mathematics, Shanghai, China
- Min Li 0005
— Chongqing University of Posts and Telecommunications, Key Laboratory of Industrial Internet of Things and Networked Control, China (and 1 more)
- Min Li 0006 — Beijing Institute of Technology, Institute of Application Specific Instruction-Set Processors, China
- Min Li 0008
— Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China (and 4 more)
- Min Li 0009
— The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX, USA (and 1 more)
- Min Li 0010
— California State University, College of Business Administration, Sacramento, CA, USA
- Min Li 0011
— Southwest Minzu University, College of Electrical and Information Engineering, Chengdu, China
- Min Li 0012 — University of Florida, Scalable Software Systems Laboratory, Gainesville, FL, USA
- Min Li 0013 — Virginia Tech, Blacksburg, VA, USA
- Min Li 0014 — University of California, San Diego, USA
- Min Li 0015 — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
- Min Li 0016
— China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan, China (and 1 more)
- Min Li 0017
— Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China
- Min Li 0018 — Sanya Aviation and Tourism College, Sanya, China
- Min Li 0019
— Chinese University of Hong Kong, CURE Lab, Hong Kong
- Min Li 0020
— Nanchang Institute Of Technology, School of Information Engineering, China
- Min Li 0021
— Chongqing University, College of Computer Science, MoE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China
- Min Li 0022 — Alibaba Group (and 2 more)
- Min Li 0023 — University of Electronic Science and Technology of China (UESTC), School of Automation Engineering, Chengdu, China
- Min Li 0024
— Shenzhen University, College of Mathematics and Computational Science, China (and 1 more)
- Min Li 0025
— Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Min Li 0026 — University of Electronic Science and Technology of China, Institute of Fundamental and Frontier Sciences, Chengdu, China
- Min Li 0027
— University of Electronic Science and Technology of China, MOE Key Lab for Neuroinformation, Chengdu, China (and 1 more)
- Min Li 0028
— Shandong Normal University, School of Mathematics and Statistics, Jinan, China
- Min Li 0029
— National University of Singapore, Department of Mechanical Engineering, Singapore
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2020 – today
- 2023
- [j124]Siqi Chen, Xuhua Yan, Ruiqing Zheng
, Min Li
:
Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data. Briefings Bioinform. 24(1) (2023) - [j123]Min Li
, Baoying Zhao, Rui Yin
, Chengqian Lu
, Fei Guo, Min Zeng
:
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings Bioinform. 24(1) (2023) - [j122]Kaili Wang, Renyi Zhou, Yifan Wu, Min Li
:
RLBind: a deep learning method to predict RNA-ligand binding sites. Briefings Bioinform. 24(1) (2023) - [j121]Teng-Zhi Long
, Shao-Hua Shi
, Shao Liu, Ai-Ping Lu, Zhao-Qian Liu
, Min Li
, Tingjun Hou
, Dong-Sheng Cao
:
Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches. J. Chem. Inf. Model. 63(1): 111-125 (2023) - [j120]Min Li
, Wenbo Shi, Fuhao Zhang, Min Zeng
, Yaohang Li
:
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 833-842 (2023) - 2022
- [j119]Min Zeng
, Yifan Wu, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu
, Min Li
:
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings Bioinform. 23(1) (2022) - [j118]Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li
, Lukasz A. Kurgan
:
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings Bioinform. 23(1) (2022) - [j117]Ju Xiang, Jiashuai Zhang, Yichao Zhao, Fang-Xiang Wu, Min Li:
Biomedical data, computational methods and tools for evaluating disease-disease associations. Briefings Bioinform. 23(2) (2022) - [j116]Ju Xiang
, Xiangmao Meng, Yichao Zhao, Fang-Xiang Wu
, Min Li
:
HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure. Briefings Bioinform. 23(3) (2022) - [j115]Xuhua Yan, Ruiqing Zheng, Min Li:
GLOBE: a contrastive learning-based framework for integrating single-cell transcriptome datasets. Briefings Bioinform. 23(5) (2022) - [j114]Rui Yin
, Xianghe Zhu, Min Zeng
, Pengfei Wu, Min Li, Chee Keong Kwoh:
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods. Briefings Bioinform. 23(5) (2022) - [j113]Min Li
, Zhangli Lu, Yifan Wu, Yaohang Li:
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. 38(7): 1995-2002 (2022) - [j112]Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda:
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469: 330-331 (2022) - [j111]Yifan Wu, Min Zeng
, Zhihui Fei, Ying Yu, Fang-Xiang Wu
, Min Li:
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding. Neurocomputing 469: 376-383 (2022) - [j110]Li Tang, Zhizhou Zhong, Yisheng Lin, Yifei Yang, Jun Wang, James F. Martin, Min Li
:
EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions. Nucleic Acids Res. 50(W1): 290-297 (2022) - [j109]Zhipeng Cai
, Min Li
, Pavel Skums
:
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 166-167 (2022) - [j108]Haonan Feng
, Ruiqing Zheng, Jianxin Wang
, Fang-Xiang Wu
, Min Li
:
NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1042-1049 (2022) - [j107]Xiangmao Meng
, Ju Xiang
, Ruiqing Zheng, Fang-Xiang Wu
, Min Li
:
DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1592-1602 (2022) - [j106]Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang
, Renyi Zhou, Min Li
:
In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1694-1702 (2022) - [j105]Xingyi Li, Ju Xiang
, Fang-Xiang Wu
, Min Li
:
A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 1993-2002 (2022) - [j104]Yiming Li, Min Zeng
, Yifan Wu, Yaohang Li
, Min Li
:
Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3263-3271 (2022) - [j103]Yifan Wu, Min Zeng
, Ying Yu, Yaohang Li
, Min Li
:
A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics 26(10): 5201-5212 (2022) - [j102]Xinliang Sun, Bei Wang
, Jie Zhang, Min Li
:
Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network. IEEE J. Biomed. Health Informatics 26(11): 5757-5765 (2022) - [j101]Xiangmao Meng
, Wenkai Li, Ju Xiang
, Hayat Dino Bedru
, Wenkang Wang, Fang-Xiang Wu
, Min Li
:
Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 9(5): 3504-3514 (2022) - [c65]Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li:
BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. BIBM 2022: 194-199 - [c64]Ziwei Xu, Ruiqing Zheng, Yuxuan Chen, Edwin Wang, Min Li:
A single cell potency inference method based on the local cell-specific network entropy. BIBM 2022: 247-252 - [c63]Norah Saeed Awn, Yiming Li, Baoying Zhao, Min Zeng, Min Li:
LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques. BIBM 2022: 398-403 - [c62]Xuehong Wu, Yifan Wu, Min Li:
MERAS: A method for entity recognition, alignment, and structuration from Chinese Electronic Medical Records. BIBM 2022: 1755-1758 - [i3]Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li:
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. CoRR abs/2208.04314 (2022) - 2021
- [j100]Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang
, Ruiqing Zheng, Min Li
:
Key residues influencing binding affinities of 2019-nCoV with ACE2 in different species. Briefings Bioinform. 22(2): 963-975 (2021) - [j99]Huimin Luo, Min Li, Mengyun Yang
, Fang-Xiang Wu
, Yaohang Li, Jianxin Wang:
Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. 22(2): 1604-1619 (2021) - [j98]Kaili Wang, Renyi Zhou, Yaohang Li, Min Li
:
DeepDTAF: a deep learning method to predict protein-ligand binding affinity. Briefings Bioinform. 22(5) (2021) - [j97]Ju Xiang
, Jiashuai Zhang, Ruiqing Zheng, Xingyi Li, Min Li
:
NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction. Briefings Bioinform. 22(5) (2021) - [j96]Chengqian Lu
, Min Zeng
, Fang-Xiang Wu
, Min Li
, Jianxin Wang
:
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinform. 36(24): 5656-5664 (2021) - [j95]Zhenlan Liang
, Min Li
, Ruiqing Zheng
, Yu Tian
, Xuhua Yan
, Jin Chen
, Fang-Xiang Wu
, Jianxin Wang
:
SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement. Genom. Proteom. Bioinform. 19(2): 282-291 (2021) - [j94]Shehu Mohammed Yusuf, Fuhao Zhang, Min Zeng
, Min Li:
DeepPPF: A deep learning framework for predicting protein family. Neurocomputing 428: 19-29 (2021) - [j93]Nian Wang, Min Zeng
, Yiming Li, Fang-Xiang Wu, Min Li:
Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. 28(7): 687-700 (2021) - [j92]Min Zeng
, Min Li
, Zhihui Fei, Fang-Xiang Wu
, Yaohang Li
, Yi Pan
, Jianxin Wang
:
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 296-305 (2021) - [j91]Ruiqing Zheng, Min Li
, Xiang Chen
, Siyu Zhao, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang
:
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 347-354 (2021) - [j90]Huimin Luo, Jianxin Wang
, Cheng Yan, Min Li, Fang-Xiang Wu, Yi Pan
:
A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 463-471 (2021) - [j89]Min Li
, Yake Wang
, Ruiqing Zheng, Xinghua Shi
, Yaohang Li
, Fang-Xiang Wu
, Jianxin Wang
:
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 575-582 (2021) - [j88]Zhen Zhang, Junwei Luo
, Juan Shang, Min Li
, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang
:
Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1070-1081 (2021) - [j87]Xingyu Liao
, Min Li
, Junwei Luo
, You Zou, Fang-Xiang Wu
, Yi Pan
, Feng Luo
, Jianxin Wang
:
EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1492-1503 (2021) - [j86]Fuhao Zhang, Hong Song, Min Zeng
, Fang-Xiang Wu
, Yaohang Li
, Yi Pan
, Min Li
:
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2208-2217 (2021) - [j85]Min Zeng
, Chengqian Lu
, Zhihui Fei, Fang-Xiang Wu
, Yaohang Li
, Jianxin Wang
, Min Li
:
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2353-2363 (2021) - [j84]Xingyi Li, Ju Xiang
, Jianxin Wang
, Jinyan Li, Fang-Xiang Wu
, Min Li
:
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2483-2491 (2021) - [j83]Chengqian Lu
, Min Zeng
, Fuhao Zhang, Fang-Xiang Wu
, Min Li
, Jianxin Wang
:
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25(3): 891-899 (2021) - [c61]Min Zeng
, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, Min Li:
Improving human essential protein prediction using only protein sequences via ensemble learning. BIBM 2021: 98-103 - [c60]Yanping Zeng, Xuhua Yan, Zhenlan Liang, Ruiqing Zheng, Min Li:
MKG: a mutual information based method to infer single cell gene regulatory network. BIBM 2021: 223-228 - [c59]Zhenlan Liang, Ruiqing Zheng, Siqi Chen, Xuhua Yan, Min Li:
DeepCI: a deep learning based clustering method for single cell RNA-seq data. BIBM 2021: 302-307 - [c58]Xuehong Wu, Junwen Duan, Jianhua Li, Min Li:
nPTAS: A Novel Platform for Text Annotation and Service. BIBM 2021: 544-549 - [c57]Sajida Raz Bhutto, Yifan Wu, Ying Yu, Akhtar Hussain Jalbani, Min Li:
A Hybrid Pooling Based Deep Learning Framework For Automated ICD Coding. BIBM 2021: 823-828 - [c56]Wenkang Wang, Xiangmao Meng, Ju Xiang, Min Li:
Overlapping Protein Complexes Detection Based on Multi-level Topological Similarities. ISBRA 2021: 215-226 - [e3]Yanjie Wei, Min Li, Pavel Skums, Zhipeng Cai:
Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings. Lecture Notes in Computer Science 13064, Springer 2021, ISBN 978-3-030-91414-1 [contents] - [i2]Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang:
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions. CoRR abs/2101.12547 (2021) - [i1]Yifan Wu, Min Zeng, Ying Yu, Min Li:
A Pseudo Label-wise Attention Network for Automatic ICD Coding. CoRR abs/2106.06822 (2021) - 2020
- [j82]Xingyi Li, Wenkai Li, Min Zeng
, Ruiqing Zheng, Min Li
:
Network-based methods for predicting essential genes or proteins: a survey. Briefings Bioinform. 21(2): 566-583 (2020) - [j81]Min Zeng
, Fuhao Zhang, Fang-Xiang Wu
, Yaohang Li, Jianxin Wang
, Min Li
:
Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36(4): 1114-1120 (2020) - [j80]Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
:
DeepFrag-k: a fragment-based deep learning approach for protein fold recognition. BMC Bioinform. 21-S(6): 203 (2020) - [j79]Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu
, Min Li
:
MADA: a web service for analysing DNA methylation array data. BMC Bioinform. 21-S(6): 403 (2020) - [j78]Renyi Zhou, Zhangli Lu, Huimin Luo, Ju Xiang, Min Zeng
, Min Li:
NEDD: a network embedding based method for predicting drug-disease associations. BMC Bioinform. 21-S(13): 387 (2020) - [j77]Xingyu Liao
, Min Li
, Junwei Luo, You Zou, Fang-Xiang Wu
, Yi Pan
, Feng Luo
, Jianxin Wang
:
Improving de novo Assembly Based on Read Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 177-188 (2020) - [j76]Xingyu Liao
, Min Li
, You Zou, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang
:
An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 728-738 (2020) - [j75]Min Li
, Xiangmao Meng
, Ruiqing Zheng, Fang-Xiang Wu
, Yaohang Li
, Yi Pan
, Jianxin Wang
:
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 817-827 (2020) - [j74]Binbin Wu, Min Li
, Xingyu Liao
, Junwei Luo
, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang
:
MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 847-857 (2020) - [j73]Junwei Luo, Jianxin Wang
, Juan Shang, Huimin Luo, Min Li, Fang-Xiang Wu, Yi Pan:
GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 877-886 (2020) - [j72]Hui Jiang
, Jianxin Wang
, Min Li
, Wei Lan
, Fang-Xiang Wu
, Yi Pan
:
miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1032-1041 (2020) - [j71]Gaoshi Li, Min Li
, Jianxin Wang
, Yaohang Li
, Yi Pan
:
United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1451-1458 (2020) - [j70]Chengqian Lu
, Mengyun Yang
, Min Li
, Yaohang Li
, Fang-Xiang Wu
, Jianxin Wang
:
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics 24(8): 2420-2429 (2020) - [j69]Hui Jiang
, Mengyun Yang
, Xiang Chen
, Min Li
, Yaohang Li
, Jianxin Wang
:
miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm. IEEE J. Biomed. Health Informatics 24(12): 3630-3641 (2020) - [c55]Ruiqing Zheng, Zhenlan Liang, Xiangmao Meng
, Yu Tian, Min Li:
A robust single cell clustering method based on subspace learning and partial imputation. BIBM 2020: 140-145 - [c54]Xingyi Li, Ju Xiang, Fang-Xiang Wu
, Min Li:
A topological AUC-based biomarker ensemble method for the complex disease analysis. BIBM 2020: 281-286 - [c53]Hao Gao, Min Li, Fang-Xiang Wu
:
SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control. ISBRA 2020: 26-37 - [c52]Nian Wang, Min Zeng
, Jiashuai Zhang, Yiming Li, Min Li:
Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost. ISBRA 2020: 95-104
2010 – 2019
- 2019
- [j68]Min Li
, Hao Gao, Jianxin Wang, Fang-Xiang Wu
:
Control principles for complex biological networks. Briefings Bioinform. 20(6): 2253-2266 (2019) - [j67]Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang:
Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. 2(4): 288-305 (2019) - [j66]Min Li, Li Tang, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang:
SCOP: a novel scaffolding algorithm based on contig classification and optimization. Bioinform. 35(7): 1142-1150 (2019) - [j65]Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang:
BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks. Bioinform. 35(11): 1893-1900 (2019) - [j64]Ruiqing Zheng, Min Li
, Zhenlan Liang, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang
:
SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation. Bioinform. 35(19): 3642-3650 (2019) - [j63]Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
CSA: a web service for the complete process of ChIP-Seq analysis. BMC Bioinform. 20-S(15): 515 (2019) - [j62]Min Zeng
, Min Li, Fang-Xiang Wu
, Yaohang Li, Yi Pan
:
DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. 20-S(16): 506:1-506:10 (2019) - [j61]Fang-Xiang Wu
, Min Li:
Deep learning for biological/clinical data. Neurocomputing 324: 1-2 (2019) - [j60]Min Zeng
, Min Li, Zhihui Fei, Ying Yu, Yi Pan
, Jianxin Wang:
Automatic ICD-9 coding via deep transfer learning. Neurocomputing 324: 43-50 (2019) - [j59]Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu
, Jianxin Wang:
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics 91 (2019) - [j58]Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li:
Decoding the Structural Keywords in Protein Structure Universe. J. Comput. Sci. Technol. 34(1): 3-15 (2019) - [j57]Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu
:
Controllability and Its Applications to Biological Networks. J. Comput. Sci. Technol. 34(1): 16-34 (2019) - [j56]Min Li, Cai-Feng Luo:
Correlation Analysis of Mental Health Status and Sleep Quality in Helicobacter pylori Positive Patients. J. Medical Imaging Health Informatics 9(8): 1600-1606 (2019) - [j55]Xingyu Liao
, Min Li, You Zou, Fang-Xiang Wu
, Yi Pan, Jianxin Wang:
Current challenges and solutions of de novo assembly. Quant. Biol. 7(2): 90-109 (2019) - [j54]Min Li
, Ruiqing Zheng, Yaohang Li
, Fang-Xiang Wu
, Jianxin Wang
:
MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 417-424 (2019) - [j53]Min Li
, Li Tang, Zhongxiang Liao, Junwei Luo
, Fang-Xiang Wu
, Yi Pan
, Jianxin Wang
:
A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 764-773 (2019) - [j52]Min Li
, Zhihui Fei, Min Zeng
, Fang-Xiang Wu
, Yaohang Li
, Yi Pan
, Jianxin Wang
:
Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1193-1202 (2019) - [j51]Min Li
, Peng Ni
, Xiaopei Chen, Jianxin Wang
, Fang-Xiang Wu
, Yi Pan
:
Construction of Refined Protein Interaction Network for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1386-1397 (2019) - [j50]Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Peng Ni, Kaijie Zhao, Fang-Xiang Wu, Yi Pan:
Computational Drug Repositioning with Random Walk on a Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1890-1900 (2019) - [c51]Xiang Chen, Fang-Xiang Wu
, Jin Chen, Min Li:
DoRC: Discovery of rare cells from ultra-large scRNA-seq data. BIBM 2019: 111-116 - [c50]Zhangli Lu, Yake Wang, Min Zeng
, Min Li:
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding. BIBM 2019: 211-214 - [c49]Xiangmao Meng
, Xiaoqing Peng, Fang-Xiang Wu
, Min Li:
Detecting protein complex based on hierarchical compressing network embedding. BIBM 2019: 215-218 - [c48]Min Zeng
, Chengqian Lu
, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu
, Yaohang Li, Min Li:
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM 2019: 577-582 - [c47]Xinyu Hu, Min Li, Linconghua Wang, Xingyi Li, Fang-Xiang Wu
, Jianxin Wang:
Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data. BIBM 2019: 807-811 - [c46]Xingyi Li, Ju Xiang, Xinyu Hu, Fang-Xiang Wu
, Min Li:
DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis. BIBM 2019: 812-817 - [c45]Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu
, Jianxin Wang:
Tentative diagnosis prediction via deep understanding of patient narratives. BIBM 2019: 1000-1003 - [c44]Xingyi Li, Ju Xiang, Jianxin Wang, Fang-Xiang Wu
, Min Li:
Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies. ICIC (2) 2019: 529-534 - [e2]Zhipeng Cai, Pavel Skums, Min Li:
Bioinformatics Research and Applications - 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings. Lecture Notes in Computer Science 11490, Springer 2019, ISBN 978-3-030-20241-5 [contents] - 2018
- [j49]Jin Liu, Yi Pan
, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu
, Jianxin Wang:
Applications of deep learning to MRI images: A survey. Big Data Min. Anal. 1(1): 1-18 (2018) - [j48]