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Jiajie Peng
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2020 – today
- 2024
- [j44]Tao Wang, Han Shu, Jialu Hu
, Yongtian Wang, Jin Chen, Jiajie Peng
Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster. Briefings Bioinform. 25(4) (2024) - [j43]Menghan Zhang, Jingru Wang, Wei Wang, Guang Yang, Jiajie Peng
Predicting cell-type specific disease genes of diabetes with the biological network. Comput. Biol. Medicine 169: 107849 (2024) - [j42]Tao Wang
postGWAS: A web server for deciphering the causality post the genome-wide association studies. Comput. Biol. Medicine 171: 108108 (2024) - [c23]Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng:
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. AAAI 2024: 383-391 - [i10]Shujian Jiao, Bingxuan Li, Lei Wang, Xiaojin Zhang, Wei Chen, Jiajie Peng, Zhongyu Wei:
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering. CoRR abs/2404.15805 (2024) - [i9]Jingcong Liang
Overview of the CAIL 2023 Argument Mining Track. CoRR abs/2406.14503 (2024) - [i8]Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, Shaoqing Jiao, Jiajie Peng:
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis. CoRR abs/2407.09811 (2024) - 2023
- [j41]Yongtian Wang
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information. Briefings Bioinform. 24(2) (2023) - [j40]Tao Wang
scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks. Briefings Bioinform. 24(6) (2023) - [j39]Wei Chen
A benchmark for automatic medical consultation system: frameworks, tasks and datasets. Bioinform. 39(1) (2023) - [j38]Wei Chen
DxFormer: a decoupled automatic diagnostic system based on decoder-encoder transformer with dense symptom representations. Bioinform. 39(1) (2023) - [j37]Tao Wang
DFinder: a novel end-to-end graph embedding-based method to identify drug-food interactions. Bioinform. 39(1) (2023) - [c22]Jingqi Wang, Jiajie Peng, Zhiming Liu, Hengjun Zhao:
HQProtoPNet: An Evidence-Based Model for Interpretable Image Recognition. IJCNN 2023: 1-8 - [i7]Zhijie Bao, Wei Chen, Shengze Xiao, Kuang Ren, Jiaao Wu, Cheng Zhong, Jiajie Peng, Xuanjing Huang, Zhongyu Wei:
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation. CoRR abs/2308.14346 (2023) - 2022
- [j36]Wei Wang, Ruijiang Han, Menghan Zhang, Yuxian Wang, Tao Wang
A network-based method for brain disease gene prediction by integrating brain connectome and molecular network. Briefings Bioinform. 23(1) (2022) - [j35]Tao Wang
Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation. Briefings Bioinform. 23(1) (2022) - [j34]Tao Wang
Correction to: Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation. Briefings Bioinform. 23(3) (2022) - [j33]Caiwei Zhen
A review and performance evaluation of clustering frameworks for single-cell Hi-C data. Briefings Bioinform. 23(6) (2022) - [j32]Cheng Zhong
Hierarchical reinforcement learning for automatic disease diagnosis. Bioinform. 38(16): 3995-4001 (2022) - [j31]Jiajie Peng, Jinjin Yang, D. Vijay Anand
Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis. Frontiers Comput. Sci. 16(4): 164902 (2022) - [c21]Ruijiang Han, Wei Wang, Yuxi Long, Jiajie Peng:
Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract). AAAI 2022: 12965-12966 - [c20]Tao Wang, Hui Zhao, Yifu Xiao, Hanzi Yang, Xipeng Yin, Yongtian Wang, Bing Xiao, Xuequn Shang, Jiajie Peng:
Discovering eQTL Regulatory Patterns Through eQTLMotif. BIBM 2022: 130-135 - [c19]Tao Wang, Hengbo Xu, Ranye Zhang, Yifu Xiao, Jiajie Peng, Xuequn Shang:
Hypergraph-based Gene Ontology Embedding for Disease Gene Prediction. BIBM 2022: 2424-2430 - [c18]Xinyi Mou, Zhongyu Wei, Changjian Jiang, Jiajie Peng:
A Two Stage Adaptation Framework for Frame Detection via Prompt Learning. COLING 2022: 2968-2978 - [i6]Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets. CoRR abs/2204.08997 (2022) - [i5]Wei Chen, Cheng Zhong, Jiajie Peng, Zhongyu Wei:
DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations. CoRR abs/2205.03755 (2022) - 2021
- [j30]Jiajie Peng
Integrating multi-network topology for gene function prediction using deep neural networks. Briefings Bioinform. 22(2): 2096-2105 (2021) - [j29]Tianyi Zhao, Yang Hu, Linda R. Valsdottir, Tianyi Zang, Jiajie Peng:
Identifying drug-target interactions based on graph convolutional network and deep neural network. Briefings Bioinform. 22(2): 2141-2150 (2021) - [j28]Jiajie Peng
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction. Briefings Bioinform. 22(5) (2021) - [j27]Tianyi Zhao, Jinxin Liu, Xi Zeng, Wei Wang, Sheng Li, Tianyi Zang, Jiajie Peng, Yang Yang:
Prediction and collection of protein-metabolite interactions. Briefings Bioinform. 22(5) (2021) - [j26]Jiajie Peng, Lu Han
A novel method for predicting cell abundance based on single-cell RNA-seq data. BMC Bioinform. 22-S(9): 281 (2021) - [j25]Tao Wang
A pipeline for RNA-seq based eQTL analysis with automated quality control procedures. BMC Bioinform. 22-S(9): 403 (2021) - [j24]Tianyi Zhao
SC2disease: a manually curated database of single-cell transcriptome for human diseases. Nucleic Acids Res. 49(Database-Issue): D1413-D1419 (2021) - [c17]Shuhui Liu
DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification. BIBM 2021: 1865-1872 - [c16]Tao Wang
Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations. BIBM 2021: 1892-1898 - [c15]Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng:
Curriculum Learning for Vision-and-Language Navigation. NeurIPS 2021: 13328-13339 - [i4]Jiwen Zhang, Zhongyu Wei, Jianqing Fan, Jiajie Peng:
Curriculum Learning for Vision-and-Language Navigation. CoRR abs/2111.07228 (2021) - [i3]Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun:
ED2: An Environment Dynamics Decomposition Framework for World Model Construction. CoRR abs/2112.02817 (2021) - 2020
- [j23]Jiajie Peng
Identifying emerging phenomenon in long temporal phenotyping experiments. Bioinform. 36(2): 568-577 (2020) - [j22]Tianyi Zhao
DeepLGP: a novel deep learning method for prioritizing lncRNA target genes. Bioinform. 36(16): 4466-4472 (2020) - [j21]Jiajie Peng
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network. BMC Bioinform. 21-S(13): 394 (2020) - [j20]Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao
Combining sequence and network information to enhance protein-protein interaction prediction. BMC Bioinform. 21-S(16): 537 (2020) - [j19]Jiajie Peng
Mining Relationships among Multiple Entities in Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 769-776 (2020) - [c14]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS 2020: 2053-2055 - [c13]Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang
Automatic Term Name Generation for Gene Ontology: Task and Dataset. EMNLP (Findings) 2020: 4705-4710 - [c12]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI 2020: 3094-3100 - [i2]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR abs/2002.08037 (2020)
2010 – 2019
- 2019
- [j18]Jiajie Peng
A learning-based framework for miRNA-disease association identification using neural networks. Bioinform. 35(21): 4364-4371 (2019) - [j17]Jiajie Peng
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data. BMC Bioinform. 20-S(8): 284:1-284:12 (2019) - [j16]Yongtian Wang, Liran Juan, Jiajie Peng
LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets. BMC Bioinform. 20-S(16): 582:1-582:11 (2019) - [j15]Jiajie Peng
TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology. BMC Bioinform. 20-S(18): 572:1-572:7 (2019) - [j14]Yongtian Wang, Liran Juan, Jiajie Peng
Prioritizing candidate diseases-related metabolites based on literature and functional similarity. BMC Bioinform. 20-S(18): 574:1-574:11 (2019) - [j13]Hansheng Xue
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO. BMC Syst. Biol. 13-S(2): 34:1-34:12 (2019) - [c11]Hansheng Xue, Jiajie Peng, Xuequn Shang:
Towards Gene Function Prediction via Multi-Networks Representation Learning. AAAI 2019: 10069-10070 - [c10]Leilei Liu, Yi Ma, Xianglei Zhu, Yaodong Yang, Xiaotian Hao, Li Wang, Jiajie Peng:
Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks. BIBM 2019: 1762-1768 - [c9]Jiajie Peng, Lu Han, Xuequn Shang:
A deconvolution method for predicting cell abundance based on single cell RNA-seq data. BIBM 2019: 1769-1773 - [c8]Hansheng Xue
Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. CIKM 2019: 2117-2120 - 2018
- [j12]Jiajie Peng
Measuring phenotype-phenotype similarity through the interactome. BMC Bioinform. 19-S(5): 65-77 (2018) - [j11]Jiajie Peng
Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach. BMC Syst. Biol. 12(S-2): 109-116 (2018) - [c7]Tao Wang, Jiajie Peng, Yadong Wang, Jin Chen:
Identifying Representative Network Motifs for Inferring Higher-order Structure of Biological Networks. BIBM 2018: 149-156 - [c6]Yongtian Wang, Liran Juan, Jiajie Peng, Tianyi Zang, Yadong Wang:
Predicting candidate disease-related lncRNAs based on network random walk. BIBM 2018: 524-531 - [c5]Jiajie Peng, Guilin Lu, Hansheng Xue
TSGOE: A web tool for tissue-specific gene ontology enrichment. BIBM 2018: 1266-1269 - [i1]Hansheng Xue, Jiajie Peng, Xuequn Shang:
Deep Feature Learning of Multi-Network Topology for Node Classification. CoRR abs/1809.02394 (2018) - 2017
- [j10]Jiajie Peng
Investigations on factors influencing HPO-based semantic similarity calculation. J. Biomed. Semant. 8-S(1): 61-69 (2017) - [j9]Jiajie Peng
Identifying term relations cross different gene ontology categories. BMC Bioinform. 18(16): 67-74 (2017) - [j8]Jiajie Peng, Hansheng Xue
A novel method to measure the semantic similarity of HPO terms. Int. J. Data Min. Bioinform. 17(2): 173-188 (2017) - [c4]Jiajie Peng, Weiwei Hui, Xuequn Shang:
Measuring phenotype-phenotype similarity through the interactome. BIBM 2017: 1674-1677 - 2016
- [j7]Yongzhuang Liu, Jian Liu, Jianguo Lu, Jiajie Peng
Joint detection of copy number variations in parent-offspring trios. Bioinform. 32(8): 1130-1137 (2016) - [j6]Jiajie Peng
Extending gene ontology with gene association networks. Bioinform. 32(8): 1185-1194 (2016) - [c3]Jiajie Peng, Hansheng Xue
Measuring phenotype semantic similarity using Human Phenotype Ontology. BIBM 2016: 763-766 - [c2]Jiajie Peng, Qianqian Li, Bolin Chen, Jialu Hu, Xuequn Shang:
Analyzing factors involved in the HPO-based semantic similarity calculation. BIBM 2016: 1653-1656 - 2015
- [j5]Jiajie Peng
Measuring semantic similarities by combining gene ontology annotations and gene co-function networks. BMC Bioinform. 16: 44:1-44:14 (2015) - [j4]Qinghua Jiang, Jixuan Wang, Xiaoliang Wu, Rui Ma, Tianjiao Zhang
LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression. Nucleic Acids Res. 43(Database-Issue): 193-196 (2015) - [c1]Jiajie Peng, Hongxiang Li, Yadong Wang, Jin Chen:
A web tool for measuring gene semantic similarities by combining gene ontology and gene co-function networks. BCB 2015: 678-679 - 2014
- [j3]Jiajie Peng
Towards integrative gene functional similarity measurement. BMC Bioinform. 15(S-2): S5 (2014) - [j2]Jiajie Peng
An integrative approach for measuring semantic similarities using gene ontology. BMC Syst. Biol. 8(S-5): S8 (2014) - 2013
- [j1]Jiajie Peng
Identifying cross-category relations in gene ontology and constructing genome-specific term association networks. BMC Bioinform. 14(S-2): S15 (2013)
Coauthor Index
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last updated on 2024-12-26 01:51 CET by the dblp team
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