| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Nature Biotechnology 28 (8), 827-838, 2010 | 796* | 2010 |
| Network‐based global inference of human disease genes X Wu, R Jiang, MQ Zhang, S Li Molecular Systems Biology 4 (1), 189, 2008 | 737 | 2008 |
| A random forest approach to the detection of epistatic interactions in case-control studies R Jiang, W Tang, X Wu, W Fu BMC Bioinformatics 10 (1), 1-12, 2009 | 305 | 2009 |
| Clustering 16S rRNA for OTU prediction: a method of unsupervised Bayesian clustering X Hao, R Jiang, T Chen Bioinformatics 27 (5), 611-618, 2011 | 286 | 2011 |
| Modeling gene regulation from paired expression and chromatin accessibility data Z Duren, X Chen, R Jiang, Y Wang, WH Wong Proceedings of the National Academy of Sciences 114 (25), E4914-E4923, 2017 | 140 | 2017 |
| Epistatic module detection for case-control studies: a Bayesian model with a Gibbs sampling strategy W Tang, X Wu, R Jiang, Y Li PLoS Genetics 5 (5), e1000464, 2009 | 135 | 2009 |
| From ontology to semantic similarity: calculation of ontology-based semantic similarity M Gan, X Dou, R Jiang The Scientific World Journal 2013, 2013 | 132 | 2013 |
| Predicting enhancers with deep convolutional neural networks X Min, W Zeng, S Chen, N Chen, T Chen, R Jiang BMC Bioinformatics 18 (13), 35-46, 2017 | 125* | 2017 |
| Integrating next-generation sequencing and traditional tongue diagnosis to determine tongue coating microbiome B Jiang, X Liang, Y Chen, T Ma, L Liu, J Li, R Jiang, T Chen, X Zhang, S Li Scientific Reports 2 (1), 1-15, 2012 | 124 | 2012 |
| Align human interactome with phenome to identify causative genes and networks underlying disease families X Wu, Q Liu, R Jiang Bioinformatics 25 (1), 98-104, 2009 | 118 | 2009 |
| Reconstructing cell cycle pseudo time-series via single-cell transcriptome data Z Liu, H Lou, K Xie, H Wang, N Chen, OM Aparicio, MQ Zhang, R Jiang, ... Nature Communications 8 (1), 1-9, 2017 | 104 | 2017 |
| Uncover disease genes by maximizing information flow in the phenome–interactome network Y Chen, T Jiang, R Jiang Bioinformatics 27 (13), i167-i176, 2011 | 98 | 2011 |
| Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding X Min, W Zeng, N Chen, T Chen, R Jiang Bioinformatics 33 (14), i92-i101, 2017 | 96 | 2017 |
| Research in computational molecular biology J Huang, Q Morris, B Frey Detecting microRNA targets by linking sequence, microRNA and gene expression …, 2006 | 93 | 2006 |
| Constructing a gene semantic similarity network for the inference of disease genes R Jiang, M Gan, P He BMC Systems Biology 5 (2), 1-11, 2011 | 90 | 2011 |
| DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning W Li, WH Wong, R Jiang Nucleic Acids Research 47 (10), e60-e60, 2019 | 89 | 2019 |
| Prediction of deleterious nonsynonymous single-nucleotide polymorphism for human diseases J Wu, R Jiang The Scientific World Journal 2013, 2013 | 77 | 2013 |
| Network motif identification in stochastic networks R Jiang, Z Tu, T Chen, F Sun Proceedings of the National Academy of Sciences 103 (25), 9404-9409, 2006 | 72 | 2006 |
| Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities M Gan, R Jiang Decision Support Systems 55 (3), 811-821, 2013 | 69 | 2013 |
| Prediction of enhancer-promoter interactions via natural language processing W Zeng, M Wu, R Jiang BMC Genomics 19 (2), 13-22, 2018 | 67 | 2018 |
Ting ChenProfessor of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
