序列分析 |
1 |
Ni, Peng, et al. "Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning." Nature communications 12.1 (2021): 5976.PDF |
2 |
Chen, Ying, et al. "Efficient assembly of nanopore reads via highly accurate and intact error correction." Nature Communications 12.1 (2021): 60.PDF |
3 |
Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, and Jianxin Wang. "SCOP: a novel scaffolding algorithm based on contig classification and optimization." bioinformatics 35, no. 7 (2019): 1142-1150.PDF |
4 |
Junwei Luo, Jianxin Wang, Zhen Zhang, Min Li, and Fang-Xiang Wu. "BOSS: a novel scaffolding algorithm based on an optimized scaffold graph." Bioinformatics 33, no. 2 (2017): 169-176.PDF |
5 |
Zhen Zhang, Jianxin Wang, Junwei Luo, Xiaojun Ding, Jiancheng Zhong, Jun Wang, Fang-Xiang Wu, and Yi Pan. "Sprites: detection of deletions from sequencing data by re-aligning split reads." Bioinformatics 32, no. 12 (2016): 1788-1796.PDF |
6 |
Junwei Luo, Jianxin Wang, Zhen Zhang, Fang-Xiang Wu, Min Li, and Yi Pan. "EPGA: de novo assembly using the distributions of reads and insert size." Bioinformatics 31, no. 6 (2015): 825-833.PDF |
7 |
Junwei Luo, Jianxin Wang, Weilong Li, Zhen Zhang, Fang-Xiang Wu, Min Li, and Yi Pan. "EPGA2: memory-efficient de novo assembler." Bioinformatics 31, no. 24 (2015): 3988-3990.PDF |
生物网络分析 |
1 |
Tang, Li, et al. "EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions." Nucleic Acids Research 50.W1 (2022): W290-W297.PDF |
2 |
Tang, Li, et al. "Bacon: a comprehensive computational benchmarking framework for evaluating targeted chromatin conformation capture-specific methodologies." Genome Biology 23.1 (2022): 1-21.PDF |
3 |
Xingyi Li, Wenkai Li, Min Zeng, Ruiqing Zheng, and Min Li. "Network-based methods for predicting essential genes or proteins: a survey." Briefings in bioinformatics 21, no. 2 (2020): 566-583.PDF |
4 |
Min Li, Hao Gao, Jianxin Wang, and Fang-Xiang Wu. "Control principles for complex biological networks." Briefings in bioinformatics 20, no. 6 (2019): 2253-2266.PDF |
5 |
Min Li, Jie Yang, Fang-Xiang Wu, Yi Pan, and Jianxin Wang. "DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization." Bioinformatics 34, no. 9 (2018): 1597-1599.PDF |
6 |
Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu, and Yi Pan. "Protein–protein interactions: detection, reliability assessment and applications." Briefings in bioinformatics 18, no. 5 (2017): 798-819.PDF |
7 |
Jianxin Wang, Xiaoqing Peng, Min Li, and Yi Pan. "Construction and application of dynamic protein interaction network based on time course gene expression data." Proteomics 13, no. 2 (2013): 301-312.PDF |
医学影像分析 |
1 |
Li, Junjian, et al. "DARC: Deep adaptive regularized clustering for histopathological image classification." Medical Image Analysis 80 (2022): 102521.PDF |
2 |
Cheng, Jianhong, et al. "Automated diagnosis of covid-19 using deep supervised autoencoder with multi-view features from CT images." IEEE/ACM Transactions on Computational Biology and Bioinformatics 19.5 (2021): 2723-2736.PDF |
3 |
Liangliang Liu, Lukasz Kurgan, Fang-Xiang Wu, and Jianxin Wang. "Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease." Medical Image Analysis (2020): 101791. PDF |
4 |
Jin Liu, Yi Pan, Fang-Xiang Wu, and Jianxin Wang. "Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification." Neurocomputing (2020).PDF
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5 |
Liangliang Liu, Shaowu Chen, Fuhao Zhang, Fang-Xiang Wu, Yi Pan, and Jianxin Wang. "Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI." Neural Computing and Applications (2019): 1-14.PDF |
6 |
Liangliang Liu, Fang-Xiang Wu, and Jianxin Wang. "Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation." Neurocomputing 350 (2019): 117-127.PDF |
7 |
Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, and Jianxin Wang. "Classification of Alzheimer's disease using whole brain hierarchical network." IEEE/ACM transactions on computational biology and bioinformatics 15, no. 2 (2016): 624-632.PDF |
生物数据挖掘 |
1 |
Zhang, Lishen, et al. "CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features." Briefings in Bioinformatics 24.1 (2023): bbac530.PDF |
2 |
Lu, Chengqian, et al. "Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network." Briefings in Bioinformatics 24.1 (2023): bbac549.PDF |
3 |
Mengyun Yang, Jianxin Wang. Feature and Nuclear Norm Minimization for Matrix Completion. IEEE-TKDE(2020) doi:10.1109/TKDE.2020.3005978 PDF |
4 |
Mengyun Yang, Huimin Luo, Yaohang Li, and Jianxin Wang. "Drug repositioning based on bounded nuclear norm regularization." Bioinformatics 35, no. 14 (2019): i455-i463.PDF |
5 |
Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, and Jianxin Wang. "Computational drug repositioning using low-rank matrix approximation and randomized algorithms." Bioinformatics 34, no. 11 (2018): 1904-1912.PDF |
6 |
Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, and Jianxin Wang. "Prediction of lncRNA–disease associations based on inductive matrix completion." Bioinformatics 34, no. 19 (2018): 3357-3364.PDF |
7 |
Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Xiaoqing Peng, Fang-Xiang Wu, and Yi Pan. "Drug repositioning based on comprehensive similarity measures and bi-random walk algorithm." Bioinformatics 32, no. 17 (2016): 2664-2671.PDF |