| LncRNA2Function: a comprehensive resource for functional investigation of human lncRNAs based on RNA-seq data Q Jiang, R Ma, J Wang, X Wu, S Jin, J Peng, R Tan, T Zhang, Y Li, ... BMC genomics 16 (3), 1-11, 2015 | 107 | 2015 |
| LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression Q Jiang, J Wang, X Wu, R Ma, T Zhang, S Jin, Z Han, R Tan, J Peng, G Liu, ... Nucleic acids research 43 (D1), D193-D196, 2015 | 106 | 2015 |
| SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association L Cheng, J Li, P Ju, J Peng, Y Wang PloS one 9 (6), e99415, 2014 | 102 | 2014 |
| InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk L Cheng, Y Jiang, H Ju, J Sun, J Peng, M Zhou, Y Hu BMC genomics 19 (1), 125-134, 2018 | 75 | 2018 |
| A learning-based framework for miRNA-disease association identification using neural networks J Peng, W Hui, Q Li, B Chen, J Hao, Q Jiang, X Shang, Z Wei Bioinformatics, 2019 | 52 | 2019 |
| A novel method to measure the semantic similarity of HPO terms J Peng, H Xue, Y Shao, X Shang, Y Wang, J Chen International Journal of Data Mining and Bioinformatics 17 (2), 173-188, 2017 | 50 | 2017 |
| Identifying term relations cross different gene ontology categories J Peng, H Wang, J Lu, W Hui, Y Wang, X Shang BMC bioinformatics 18 (16), 67-74, 2017 | 46 | 2017 |
| Measuring semantic similarities by combining gene ontology annotations and gene co-function networks J Peng, S Uygun, T Kim, Y Wang, SY Rhee, J Chen BMC bioinformatics 16 (1), 1-14, 2015 | 45 | 2015 |
| Extending gene ontology with gene association networks J Peng, T Wang, J Wang, Y Wang, J Chen Bioinformatics 32 (8), 1185-1194, 2016 | 39 | 2016 |
| Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach J Peng, X Zhang, W Hui, J Lu, Q Li, S Liu, X Shang BMC systems biology 12 (2), 109-116, 2018 | 36 | 2018 |
| Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data J Peng, X Wang, X Shang BMC bioinformatics 20 (8), 1-12, 2019 | 35 | 2019 |
| Predicting Parkinson's disease genes based on node2vec and autoencoder J Peng, J Guan, X Shang Frontiers in genetics 10, 226, 2019 | 31 | 2019 |
| Predicting disease-related genes using integrated biomedical networks J Peng, K Bai, X Shang, G Wang, H Xue, S Jin, L Cheng, Y Wang, J Chen BMC genomics 18 (1), 1-11, 2017 | 29 | 2017 |
| InteGO2: a web tool for measuring and visualizing gene semantic similarities using Gene Ontology J Peng, H Li, Y Liu, L Juan, Q Jiang, Y Wang, J Chen BMC genomics 17 (5), 553-560, 2016 | 27 | 2016 |
| Towards integrative gene functional similarity measurement J Peng, Y Wang, J Chen BMC bioinformatics 15 (2), 1-10, 2014 | 26 | 2014 |
| Measuring phenotype-phenotype similarity through the interactome J Peng, W Hui, X Shang BMC bioinformatics 19 (5), 114, 2018 | 25 | 2018 |
| Identifying drug–target interactions based on graph convolutional network and deep neural network T Zhao, Y Hu, LR Valsdottir, T Zang, J Peng Briefings in bioinformatics, 2020 | 21 | 2020 |
| An integrative approach for measuring semantic similarities using gene ontology J Peng, H Li, Q Jiang, Y Wang, J Chen BMC systems biology 8 (5), 1-12, 2014 | 20 | 2014 |
| Identifying cross-category relations in gene ontology and constructing genome-specific term association networks J Peng, J Chen, Y Wang BMC bioinformatics 14 (2), 1-11, 2013 | 17 | 2013 |
| DeepLGP: a novel deep learning method for prioritizing lncRNA target genes T Zhao, Y Hu, J Peng, L Cheng Bioinformatics 36 (16), 4466-4472, 2020 | 14 | 2020 |
Jin ChenInstitue for Biomedical Informatics, University of KentuckyVerified email at uky.edu
