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2020 – today
- 2024
[j31]Zhao Peng, Jiaqiang Li, Xingpeng Jiang, Cuihong Wan
:
sOCP: a framework predicting smORF coding potential based on TIS and in-frame features and effectively applied in the human genome. Briefings Bioinform. 25(3) (2024)- [j30]Dandan Li, Zhen Xiao, Han Sun, Xingpeng Jiang, Weizhong Zhao, Xianjun Shen:
Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 120-128 (2024) - [j29]Weizhong Zhao, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. IEEE J. Biomed. Health Informatics 28(7): 4348-4360 (2024) - [c73]Jingzhe Li, Chengji Wang, Zhiming Luo, Yuxian Wu, Xingpeng Jiang:
Modality-Dependent Sentiments Exploring for Multi-Modal Sentiment Classification. ICASSP 2024: 7930-7934 - [c72]Xinzi Chen, Pei Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
A Novel Combined Embedding Model Based on Heterogeneous Network for Inferring Microbe-Metabolite Interactions. ISBRA (1) 2024: 196-211 - [c71]Xing Lv, Jie Deng, Weizhong Zhao, Xinhui Tu, Xingpeng Jiang:
A Hierarchical Classification Model for Annotating Antibacterial Biocide and Metal Resistance Genes via Fusing Global and Local Semantics. ISBRA (2) 2024: 398-409 - 2023
- [j28]Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang:
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health. Artif. Intell. Medicine 145: 102677 (2023) - [j27]Han Sun, Yue Wang, Zhen Xiao, Xiaoyun Huang, Haodong Wang, Tingting He, Xingpeng Jiang:
multiMiAT: an optimal microbiome-based association test for multicategory phenotypes. Briefings Bioinform. 24(2) (2023) - [j26]Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu:
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. 24(2) (2023) - [j25]Weizhong Zhao, Jun Xia, Xingpeng Jiang, Tingting He:
A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms. Inf. Process. Manag. 60(1): 103114 (2023) - [j24]Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu:
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3635-3647 (2023) - [j23]Yue Wang, Han Sun, Haodong Wang, Dandan Li, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism. IEEE J. Biomed. Health Informatics 27(6): 3061-3071 (2023) - [c70]Yi Jia, Shanshan Zheng, Tingting He, Xingpeng Jiang:
Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network. BIBM 2023: 165-170 - [c69]Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He:
Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. BIBM 2023: 739-744 - [c68]Xueling Yuan, Weizhong Zhao, Xiaowei Xu, Xinhui Tu, Xingpeng Jiang, Tingting He:
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation. BIBM 2023: 753-758 - [c67]Ruizhe Zhang, Dandan Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks. BIBM 2023: 984-987 - [c66]Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He:
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. BIBM 2023: 1643-1648 - [c65]Chengcheng Fu, Yanan Yao, Jieyu Wu, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Multimodal reasoning for nutrition and human health via knowledge graph embedding. BIBM 2023: 1901-1904 - [c64]Yanan Yao, Tian Yu, Huanghan Zhan, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning. BIBM 2023: 4465-4472 - [e2]Xingpeng Jiang, Haiying Wang, Reda Alhajj, Xiaohua Hu, Felix Engel, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023. IEEE 2023, ISBN 979-8-3503-3748-8 [contents] - 2022
- [j22]Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling. Briefings Bioinform. 23(3) (2022) - [j21]Han Sun, Xiaoyun Huang, Ban Huo, Yuting Tan, Tingting He, Xingpeng Jiang:
Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations. Briefings Bioinform. 23(5) (2022) - [j20]Yuting Tan, Le Ou-Yang, Xingpeng Jiang, Hong Yan, Xiao-Fei Zhang:
Identifying Gene Network Rewiring Based on Partial Correlation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 513-521 (2022) - [j19]Yingjun Ma, Tingting He, Yuting Tan, Xingpeng Jiang:
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1322-1333 (2022) - [j18]Weizhong Zhao, Jinyong Zhang, Jincai Yang, Xingpeng Jiang, Tingting He:
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2782-2793 (2022) - [c63]Pei Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network. BIBM 2022: 154-157 - [c62]Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He:
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. BIBM 2022: 627-632 - [c61]Shengwei Ye, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. BIBM 2022: 633-638 - [c60]Xueling Yuan, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network. BIBM 2022: 647-652 - [c59]Haodong Wang, Han Sun, Yue Wang, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model. BIBM 2022: 840-843 - [c58]Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang:
Food Recommendation for Mental Health by Using Knowledge Graph Approach. HIS 2022: 231-242 - [c57]Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He:
A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. PAKDD (3) 2022: 365-378 - 2021
- [j17]Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
Efficient multiple biomedical events extraction via reinforcement learning. Bioinform. 37(13): 1891-1899 (2021) - [j16]Weizhong Zhao, Dandan Fang, Jinyong Zhang, Yao Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
An effective framework for semistructured document classification via hierarchical attention model. Int. J. Intell. Syst. 36(9): 5161-5183 (2021) - [c56]Xia Sun, Chengcheng Fu, Suoqi Liu, Wenjie Chen, Ran Zhong, Tingting He, Xingpeng Jiang:
Multi-type Microbial Relation Extraction by Transfer Learning. BIBM 2021: 266-269 - [c55]Bojing Li, Duo Zhong, Xingpeng Jiang, Tingting He:
TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data. BIBM 2021: 456-461 - [c54]Yao Zhao, Weizhong Zhao, Xingpeng Jiang, Tingting He, Bianping Su:
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning. BIBM 2021: 619-624 - [c53]Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Triple-view Learning for Predicting Antibiotic Resistance Genes. BIBM 2021: 1433-1436 - [c52]Chengcheng Fu, Xiaobin Jiang, Tingting He, Xingpeng Jiang:
MDepressionKG: a knowledge graph for metabolism-depression associations. ISAIMS 2021: 63-68 - 2020
- [j15]Quan Zou, Gang Lin, Xingpeng Jiang, Xiangrong Liu, Xiangxiang Zeng:
Sequence clustering in bioinformatics: an empirical study. Briefings Bioinform. 21(1): 1-10 (2020) - [j14]Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning. Int. J. Data Min. Bioinform. 23(3): 189-212 (2020) - [j13]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 788-795 (2020) - [c51]Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He:
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. BIBM 2020: 375-380 - [c50]Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He:
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. BIBM 2020: 391-396 - [c49]Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li:
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. BIBM 2020: 402-407 - [c48]Hanlin Mou, Shanshan Zheng, Haifang Wu, Bojing Li, Tingting He, Xingpeng Jiang:
Virus Named Entity Recognition based on Pre-training Model. BIBM 2020: 473-476 - [c47]Chengcheng Fu, Ran Zhong, Xiaobin Jiang, Tingting He, Xingpeng Jiang:
An Integrated Knowledge Graph for Microbe-Disease Associations. HIS 2020: 79-90
2010 – 2019
- 2019
- [j12]Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang:
A hybrid deep learning framework for bacterial named entity recognition with domain features. BMC Bioinform. 20-S(16): 583:1-583:9 (2019) - [j11]Dan Liu, Yingjun Ma, Xingpeng Jiang, Tingting He:
Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion. BMC Bioinform. 20-S(16): 594:1-594:10 (2019) - [j10]Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He, Xingpeng Jiang:
An adaptive term proximity based rocchio's model for clinical decision support retrieval. BMC Medical Informatics Decis. Mak. 19-S(9): 251 (2019) - [c46]Jincai Yang, Shunping Ma, Xingpeng Jiang:
Predicting LncRNA-disease Association by Autoencoder and Rotation Forest. BIBM 2019: 159-164 - [c45]Limin Yu, Xianjun Shen, Xingpeng Jiang, Jincai Yang, Yujuan Yang, Duo Zhong:
Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module. BIBM 2019: 240-243 - [c44]Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention. BIBM 2019: 583-589 - [c43]Qing Zhu, Chang Han, Qiang Zhu, Tingting He, Xingpeng Jiang:
Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction. BIBM 2019: 628-633 - [c42]Ran Zhong, Xusheng Li, Xia Sun, Chengcheng Fu, Tingting He, Xingpeng Jiang:
Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM. BIBM 2019: 723-726 - [c41]Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang:
Bacterial Named Entity Recognition Based on Language Model. BIBM 2019: 2715-2721 - [c40]Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He:
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. IEEE BigData 2019: 1096-1102 - 2018
- [j9]Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu:
Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data. BMC Bioinform. 19-S(20): 37-48 (2018) - [c39]Dan Liu, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks. BIBM 2018: 108-113 - [c38]Yingiun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang:
Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity. BIBM 2018: 193-196 - [c37]Yingiun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction. BIBM 2018: 197-200 - [c36]Xianjun Shen, Xue Gong, Xingpeng Jiang, Jincai Yang, Tingting He, Xiaohua Hu:
High-order Organization of Weighted Microbial Interaction Network. BIBM 2018: 206-209 - [c35]Qiang Zhu, Min Pan, Lei Liu, Bojing Li, Tingting He, Xingpeng Jiang, Xiaohua Hu:
An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies. BIBM 2018: 248-253 - [c34]Qiang Zhu, Qing Zhu, Min Pan, Xingpeng Jiang, Xiaohua Hu, Tingting He:
The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification. BIBM 2018: 279-282 - [c33]Xusheng Li, Xiaoyan Wang, Ran Zhong, Duo Zhong, Tingting He, Xiaohua Hu, Xingpeng Jiang:
A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition. BIBM 2018: 428-433 - [c32]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang:
ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks. ICIC (3) 2018: 7-18 - [c31]Min Pan, Yue Zhang, Tingting He, Xingpeng Jiang:
An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval. ICIC (2) 2018: 93-99 - [c30]Sisi Chen, Dan Liu, Jia Zheng, Pingtao Chen, Xiaohua Hu, Xingpeng Jiang:
Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization. ICIC (2) 2018: 389-394 - [c29]Xianjun Shen, Huan Zhu, Xingpeng Jiang, Xiaohua Hu, Jincai Yang:
A Novel Approach Based on Bi-Random Walk to Predict Microbe-Disease Associations. ICIC (3) 2018: 746-752 - [e1]Yuxin Peng, Kai Yu, Jiwen Lu, Xingpeng Jiang:
Intelligence Science and Big Data Engineering - 8th International Conference, IScIDE 2018, Lanzhou, China, August 18-19, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11266, Springer 2018, ISBN 978-3-030-02697-4 [contents] - 2017
- [j8]Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen:
Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm. Complex. 2017: 9194801:1-9194801:8 (2017) - [j7]Yan Wang, Mingzhi Mao, Fang Li, Wenping Deng, Shaowu Shen, Xingpeng Jiang:
Predicting microbial interactions from time series data with network information. Int. J. Data Min. Bioinform. 17(2): 97-114 (2017) - [j6]Yong Zhang, Xiaohua Hu, Xingpeng Jiang:
Multi-View Clustering of Microbiome Samples by Robust Similarity Network Fusion and Spectral Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 264-271 (2017) - [j5]Xingpeng Jiang, Xiaohua Hu, Weiwei Xu:
Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 353-359 (2017) - [c28]Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu:
Bacterial named entity recognition based on dictionary and conditional random field. BIBM 2017: 439-444 - [c27]Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. BIBM 2017: 604-607 - [c26]Jincai Yang, Fuli Zhang, Xingpeng Jiang, Xianjun Shen, Xiaohua Hu:
Classify and identify the risky loci of type 2 diabetes with computational method. BIBM 2017: 1331-1337 - [c25]Jincai Yang, Chunjie Guo, Xingpeng Jiang, Xiaohua Hu, Xianjun Shen:
Systematic characterization and prediction of tumor-associated genes in mouse using microrna. BIBM 2017: 1338-1344 - [c24]Dan Liu, Xingpeng Jiang, Huiru Jane Zheng, Bo Xie, Haiying Wang, Tingting He, Xiaohua Hu:
The modularity of microbial interaction network in healthy human saliva: Stability and specificity. BIBM 2017: 2048-2053 - [c23]Jiandong Huang, Huiru Zheng, Haying Wang, Xingpeng Jiang:
Machine learning approaches for cyanobacteria bloom prediction using metagenomic sequence data, a case study. BIBM 2017: 2054-2061 - [c22]Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Li Gao, Tingting He, Xiaohua Hu:
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization. IEEE BigData 2017: 3882-3887 - 2016
- [j4]Xingpeng Jiang, Xiaohua Hu, Tingting He:
Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance. Sci. China Inf. Sci. 59(7): 070104:1-070104:7 (2016) - [c21]Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang:
Multi-view clustering microbiome data by joint symmetric nonnegative matrix factorization with Laplacian regularization. BIBM 2016: 625-630 - [c20]Xianjun Shen, Yao Chen, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang:
Predicting disease-microbe association by random walking on the heterogeneous network. BIBM 2016: 771-774 - [c19]Xianjun Shen, Jin Zhou, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang, Dan Xie:
A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process. BIBM 2016: 1269-1274 - [c18]Jincai Yang, Huichao Gu, Xingpeng Jiang, Qingyang Huang, Xiaohua Hu, Xianjun Shen:
Walking in the PPI network to identify the risky SNP of osteoporosis with decision tree algorithm. BIBM 2016: 1283-1287 - 2015
- [j3]Yan Wang, Tingting He, Xingpeng Jiang, Jie Yuan, Xianjun Shen:
Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model. Int. J. Data Min. Bioinform. 13(4): 378-394 (2015) - [j2]Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, E. K. Park:
Predicting Microbial Interactions Using Vector Autoregressive Model with Graph Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 254-261 (2015) - [c17]Yetian Fan, Xingpeng Jiang, Xiaohua Hu, Bo Song, Yuan Ling, Wei Wu:
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis. BIBM 2015: 49-54 - [c16]Xianjun Shen, Yi Li, Xingpeng Jiang, Yanli Zhao, Tingting He, Jincai Yang:
Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks. BIBM 2015: 109-112 - [c15]Xingpeng Jiang, Xiaohua Hu, Tingting He:
Time series analysis of microbiome data regularized by local linear manifold. BIBM 2015: 119-122 - [c14]Yan Wang, Xiaohua Hu, Xingpeng Jiang, Tingting He, Jie Yuan:
Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs. BIBM 2015: 635-638 - [c13]Jie Yuan, Xingpeng Jiang, Tingting He, Yan Wang, Xiyue Guo:
Predicting disease genes based on normalized protein modules and phenotype ontology. BIBM 2015: 1177-1183 - 2014
- [c12]Yan Wang, Xingpeng Jiang, Xiaohua Hu, Tingting He, Xianjun Shen, Jie Yuan:
Microbiome dynamics analysis using a novel multivariate vector autoregression model with weighted fusion regularization. BIBM 2014: 11-16 - [c11]Weiwei Xu, Rong Xie, Xingpeng Jiang, Xiaohua Hu:
LA2SNE: A novel stochastic neighbor embedding approach for microbiome data visualization. BIBM 2014: 31-37 - [c10]Bo Song, Xingpeng Jiang, Xiaohua Hu:
Accelerating microbiomic big data analysis by spectral interpolation. BIBM 2014: 36-43 - [c9]Xingpeng Jiang, Xiaohua Hu:
Microbiome data integration by robust similarity network fusion. BIBM 2014: 418-423 - [c8]Xingpeng Jiang, Xiaohua Hu, Weiwei Xu:
Joint Analysis of Functional and Phylogenetic Composition for Human Microbiome Data. ISBRA 2014: 346-356 - [c7]Zunyan Xiong, Yizhou Zang, Xingpeng Jiang, Xiaohua Hu:
Document Clustering with an Augmented Nonnegative Matrix Factorization Model. PAKDD (2) 2014: 348-359 - 2013
- [c6]Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, Guangrong Li, Yongli Wang:
Inference of microbial interactions from time series data using vector autoregression model. BIBM 2013: 82-85 - [c5]Xueqin Zhuang, Yongli Wang, Xiaohui Jiang, Xingpeng Jiang:
Mining the maximum conserved functional module from the alignment of pairwise protein interaction networks. BIBM 2013: 84-89 - [c4]Xingpeng Jiang, Xiaohua Hu, Weiwei Xu, Yongli Wang:
Manifold-constrained regularization for variable selection in envrionmental microbiomic data. BIBM 2013: 86-89 - [c3]Weiwei Xu, Xingpeng Jiang, Guangrong Li:
Nonmetric property of diabetes-related genes in human gut microbiome. BIBM 2013: 622 - 2012
- [c2]Xingpeng Jiang, Jonathan Dushoff, Xin Chen, Xiaohua Hu:
Identifying enterotype in human microbiome by decomposing probabilistic topics into components. BIBM 2012: 1-4 - [c1]Xingpeng Jiang, Xiaohua Hu, Huiyu Shen, Tingting He:
Manifold learning reveals nonlinear structure in metagenomic profiles. BIBM 2012: 1-6
2000 – 2009
- 2008
- [j1]Jing Zhang, Tianzi Jiang, Bing Liu, Xingpeng Jiang, Huizhi Zhao:
Systematic benchmarking of microarray data feature extraction and classification. Int. J. Comput. Math. 85(5): 803-811 (2008)
Coauthor Index
[j29] [j28] [j27] [j26] [j25] [j24] [c70] [c69] [c68] [c66] [c65] [c64] [j22] [j21] [j19] [j18] [c62] [c61] [c60] [c58] [c57] [j17] [j16] [c56] [c55] [c54] [c53] [c52] [j14] [j13] [c51] [c50] [c49] [c48] [c47] [j12] [j11] [j10] [c44] [c43] [c42] [c41] [c40] [j9] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c28] [c27] [c24] [c22] [j4] [c21] [c20] [c19] [j3] [c16] [c15] [c14] [c13] [c12] [c1]
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