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Peerj|October 1, 2019
EnContact: predicting enhancer-enhancer contacts using sequence-based deep learning modelMingxin Gan, Wenran Li, Rui JiangBMC Systems Biology|September 28, 2017
Mimvec: a deep learning approach for analyzing the human phenomeMingxin Gan, Wenran Li, Wanwen Zeng, et al.Thescientificworldjournal|March 28, 2013
From ontology to semantic similarity: calculation of ontology-based semantic similarityMingxin Gan, Xue Dou, Rui JiangInternational Journal of Computational Biology and Drug Design|December 27, 2011
Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machinesJiaxin Wu, Mingxin Gan, Rui JiangInternational Journal of Computational Biology and Drug Design|September 28, 2012
Identification of disease-related nsSNPs via the integration of protein sequence features and domain-domain interaction dataRui Jiang, Mingxin Gan, Jiaxin WuBMC Systems Biology|April 1, 2017
A sequence-based method to predict the impact of regulatory variants using random forestQiao Liu, Mingxin Gan, Rui JiangBMC Systems Biology|July 13, 2012
Constructing a gene semantic similarity network for the inference of disease genesRui Jiang, Mingxin Gan, Peng HeGenomics, Proteomics & Bioinformatics|February 13, 2021
DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of EnhancersShengquan Chen, Mingxin Gan, Hairong Lv, et al.Nucleic Acids Research|March 15, 2019
DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learningWenran Li, Wing Hung Wong, Rui JiangProceedings of the National Academy of Sciences of the United States of America|August 21, 2020
A method for scoring the cell type-specific impacts of noncoding variants in personal genomesWenran Li, Zhana Duren, Rui Jiang, et al.Pageof 129