Fang-Xiang Wu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 201

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

BIBM

Bioinform.

Briefings Bioinform.

Publications

Rawshon Raha, Qiang Liu, Fang-Xiang Wu
An Ensemble Learning Model for Predicting Unseen TCR-Epitope Interactions. ISBRA (1) (2024)
Minghan Fu, Na Zhang, Zhenxing Huang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu
OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising. IEEE Trans. Medical Imaging 43 (4) (2024)
Ming Fang, Minghan Fu, Bo Liao, Xiujuan Lei, Fang-Xiang Wu
Deep integrated fusion of local and global features for cervical cell classification. Comput. Biol. Medicine 171 (2024)
Minghan Fu, Fang-Xiang Wu
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning. AAAI (2024)
Yiming Li, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Bioinform. 39 (1) (2023)
Rayyan Azam Khan, Minghan Fu, Brent Burbridge, Yigang Luo, Fang-Xiang Wu
A multi-modal deep neural network for multi-class liver cancer diagnosis. Neural Networks 165 (2023)
Ali Akbar Jamali, Anthony J. Kusalik, Fang-Xiang Wu
NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu
A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Xiaoman Duan, Xiao Fan Ding, Naitao Li, Fang-Xiang Wu, Xiongbiao Chen, Ning Zhu
Sparse2Noise: Low-dose synchrotron X-ray tomography without high-quality reference data. Comput. Biol. Medicine 165 (2023)
Minghan Fu, Fang-Xiang Wu
QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning. CoRR (2023)
Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash G, Swaroop A, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops (2023)
Yajun Liu, Ru Li, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu
Prediction of piRNA-mRNA interactions based on an interactive inference network. BIBM (2023)
Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Kang Jiang, Bo Liao, Petros Papagerakis, Fang-Xiang Wu
Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel. BIBM (2023)
Ze-Gang Wei, Peng-Yu Bu, Xiao-Dan Zhang, Fei Liu, Yu Qian, Fang-Xiang Wu
invMap: a sensitive mapping tool for long noisy reads with inversion structural variants. Bioinform. 39 (12) (2023)
Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
Multi-level GAN based enhanced CT scans for liver cancer diagnosis. Biomed. Signal Process. Control. 81 (2023)
Yuchen Zhang, Xiujuan Lei, Cai Dai, Yi Pan, Fang-Xiang Wu
Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm. Inf. Sci. 647 (2023)
Xuhua Yan, Ruiqing Zheng, Fang-Xiang Wu, Min Li
CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity. Bioinform. 39 (3) (2023)
Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469 (2022)
Cheng Yan, Guihua Duan, Na Li, Lishen Zhang, Fang-Xiang Wu, Jianxin Wang
PDMDA: predicting deep-level miRNA-disease associations with graph neural networks and sequence features. Bioinform. 38 (8) (2022)
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) (2022)
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)
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) (2022)
Wutao Yin, Longhai Li, Fang-Xiang Wu
Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345]. Neurocomputing 509 (2022)
Fei Wang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
Predicting drug-drug interactions by graph convolutional network with multi-kernel. Briefings Bioinform. 23 (1) (2022)
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)
Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations. Briefings Bioinform. 23 (3) (2022)
Chunyan Fan, Xiujuan Lei, Jiaojiao Tie, Yuchen Zhang, Fang-Xiang Wu, Yi Pan
CircR2Disease v2.0: An Updated Web Server for Experimentally Validated circRNA-disease Associations and Its Application. Genom. Proteom. Bioinform. 20 (3) (2022)
Cheng Yan, Guihua Duan, Yayan Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
Multi-scale GAN with residual image learning for removing heterogeneous blur. IET Image Process. 16 (9) (2022)
Wutao Yin, Longhai Li, Fang-Xiang Wu
Deep learning for brain disorder diagnosis based on fMRI images. Neurocomputing 469 (2022)
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 (2022)
Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation. Artif. Intell. Medicine 124 (2022)
Caimao Zhou, Dejun Peng, Bo Liao, Ranran Jia, Fang-Xiang Wu
ACP_MS: prediction of anticancer peptides based on feature extraction. Briefings Bioinform. 23 (6) (2022)
Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Ying An, Xianyun Xia, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artif. Intell. Medicine 127 (2022)
Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu
Machine learning based liver disease diagnosis: A systematic review. Neurocomputing 468 (2022)
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)
Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Yuanfang Guan, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings Bioinform. 23 (1) (2022)
Yajun Liu, Yulian Ding, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu
Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism. BIBM (2022)
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) (2022)
Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Cheng Yan, Guihua Duan, Fang-Xiang Wu
EMDS: predicting essential miRNAs based on deep learning and sequences. BIBM (2022)
Zhongjian Cheng, Cheng Yan, Fang-Xiang Wu, Jianxin Wang
Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Ming Fang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
A Deep Neural Network for Cervical Cell Classification Based on Cytology Images. IEEE Access 10 (2022)
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) (2022)
Wutao Yin, Longhai Li, Fang-Xiang Wu
A semi-supervised autoencoder for autism disease diagnosis. Neurocomputing 483 (2022)
Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li
BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. BIBM (2022)
Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Rawshon Raha, Yulian Ding, Qiang Liu, Fang-Xiang Wu
Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties. BIBM (2022)
Zhongqi Wen, Cheng Yan, Guihua Duan, Suning Li, Fang-Xiang Wu, Jianxin Wang
A survey on predicting microbe-disease associations: biological data and computational methods. Briefings Bioinform. 22 (3) (2021)
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) (2021)
Jin Liu, Dejiao Zeng, Rui Guo, Mingming Lu, Fang-Xiang Wu, Jianxin Wang
MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning. Clust. Comput. 24 (1) (2021)
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) (2021)
Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang
A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
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) (2021)
Wutao Yin, Sakib Mostafa, Fang-Xiang Wu
Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning. J. Comput. Biol. 28 (2) (2021)
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)
Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
Human Protein Complex-Based Drug Signatures for Personalized Cancer Medicine. IEEE J. Biomed. Health Informatics 25 (11) (2021)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
Xiaoqing Peng, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang
Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics. Briefings Bioinform. 22 (3) (2021)
Ping Luo, Bolin Chen, Bo Liao, Fang-Xiang Wu
Predicting disease-associated genes: Computational methods, databases, and evaluations. WIREs Data Mining Knowl. Discov. 11 (2) (2021)
Hong-Dong Li, Changhuo Yang, Zhimin Zhang, Mengyun Yang, Fang-Xiang Wu, Gilbert S. Omenn, Jianxin Wang
IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation. Bioinform. 37 (4) (2021)
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) (2021)
Yuanyuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu
Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinform. 22 (1) (2021)
Cheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan, Jianxin Wang
MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
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) (2021)
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) (2021)
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) (2021)
Nian Wang, Min Zeng, Yiming Li, Fang-Xiang Wu, Min Li
Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. 28 (7) (2021)
Ying An, Nengjun Huang, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang
High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Shuting Dong, Jianxin Wang, Hongze Luo, Haodong Wang, Fang-Xiang Wu
A dynamic predictor selection algorithm for predicting stock market movement. Expert Syst. Appl. 186 (2021)
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) (2021)
Wenjing Zhang, Yuting Tan, Fang-Xiang Wu
Single Cell Clustering with Sparse Similarity Matrix Learning. BIBM (2021)
Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, Jianxin Wang
Proteoform characterization based on top-down mass spectrometry. Briefings Bioinform. 22 (2) (2021)
Bo Liu, Fang-Xiang Wu, Xiufen Zou
scASK: A Novel Ensemble Framework for Classifying Cell Types Based on Single-cell RNA-seq Data. IEEE J. Biomed. Health Informatics 25 (8) (2021)
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) (2021)
You Zou, Yuejie Zhu, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Parallel computing for genome sequence processing. Briefings Bioinform. 22 (5) (2021)
Wutao Yin, Longhai Li, Fang-Xiang Wu
A Graph Attention Neural Network for Diagnosing ASD with fMRI Data. BIBM (2021)
Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. Medical Image Anal. 65 (2020)
Tao Li, Xiankai Zhang, Feng Luo, Fang-Xiang Wu, Jianxin Wang
MultiMotifMaker: A Multi-Thread Tool for Identifying DNA Methylation Motifs from Pacbio Reads. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
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) (2020)
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) (2020)
Liangliang Liu, Shaowu Chen, Fuhao Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Comput. Appl. 32 (11) (2020)
Hongyu Guo, Wutao Yin, Sakib Mostafa, Fang-Xiang Wu
Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks. ISBRA (2020)
Xiaoshu Zhu, Lilu Guo, Rongyuan Li, Yunpei Xu, Fang-Xiang Wu, Xiaoqing Peng, Hong-Dong Li
A network enhancement-based method for clustering of single cell RNA-seq data. Int. J. Data Min. Bioinform. 24 (4) (2020)
Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li
A topological AUC-based biomarker ensemble method for the complex disease analysis. BIBM (2020)
Xiujuan Lei, Xiaoqin Yang, Fang-Xiang Wu
Artificial Fish Swarm Optimization Based Method to Identify Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu, Jianxin Wang
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing 384 (2020)
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) (2020)
Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu, Min Li
MADA: a web service for analysing DNA methylation array data. BMC Bioinform. (6) (2020)
Cheng Yan, Fang-Xiang Wu, Jianxin Wang, Guihua Duan
PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences. BMC Bioinform. 21 (1) (2020)
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) (2020)
Yulian Ding, Bolin Chen, Xiujuan Lei, Bo Liao, Fang-Xiang Wu
Predicting novel CircRNA-disease associations based on random walk and logistic regression model. Comput. Biol. Chem. 87 (2020)
Wen Zhu, Kaimei Huang, Xiaofang Xiao, Bo Liao, Yuhua Yao, Fang-Xiang Wu
ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization. IEEE Access 8 (2020)
Na Li, Guihua Duan, Cheng Yan, Fang-Xiang Wu, Jianxin Wang
MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron. ISBRA (2020)
Xingyu Liao, Xin Gao, Xiankai Zhang, Fang-Xiang Wu, Jianxin Wang
RepAHR: an improved approach for de novo repeat identification by assembly of the high-frequency reads. BMC Bioinform. 21 (1) (2020)

Fang-Xiang Wu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Fang-Xiang Wu