Jiajie Peng
Jiajie Peng
Harvard Medical School;Northwestern Polytechnical University;Harbin Institute of Technology
Verified email at bwh.harvard.edu
Cited by
Cited by
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
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
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
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
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
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
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
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
Extending gene ontology with gene association networks
J Peng, T Wang, J Wang, Y Wang, J Chen
Bioinformatics 32 (8), 1185-1194, 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
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
Predicting Parkinson's disease genes based on node2vec and autoencoder
J Peng, J Guan, X Shang
Frontiers in genetics 10, 226, 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
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
Towards integrative gene functional similarity measurement
J Peng, Y Wang, J Chen
BMC bioinformatics 15 (2), 1-10, 2014
Measuring phenotype-phenotype similarity through the interactome
J Peng, W Hui, X Shang
BMC bioinformatics 19 (5), 114, 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
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
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
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
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