| CHANGE-seq reveals genetic and epigenetic effects on CRISPR–Cas9 genome-wide activity CR Lazzarotto, NL Malinin, Y Li, R Zhang, Y Yang, GH Lee, E Cowley, ... Nature biotechnology 38 (11), 1317-1327, 2020 | 191 | 2020 |
| Predicting enhancer-promoter interaction from genomic sequence with deep neural networks S Singh, Y Yang, B Poczos, J Ma Quantitative Biology 7 (2), 122-137, 2019 | 144 | 2019 |
| Exploiting sequence-based features for predicting enhancer–promoter interactions Y Yang, R Zhang, S Singh, J Ma Bioinformatics 33 (14), i252-i260, 2017 | 99 | 2017 |
| Predicting CTCF-mediated chromatin loops using CTCF-MP R Zhang, Y Wang, Y Yang, Y Zhang, J Ma Bioinformatics 34 (13), i133-i141, 2018 | 58 | 2018 |
| Comparing 3D genome organization in multiple species using Phylo-HMRF Y Yang, Y Zhang, B Ren, J Dixon, J Ma Cell Systems 8, 494-505, 2019 | 31 | 2019 |
| Continuous-trait probabilistic model for comparing multi-species functional genomic data Y Yang, Q Gu, Y Zhang, T Sasaki, J Crivello, RJ O'Neill, DM Gilbert, J Ma Cell systems 7 (2), 208-218. e11, 2018 | 21 | 2018 |
| Information transduction capacity reduces the uncertainties in annotation-free isoform discovery and quantification Y Deng, F Bao, Y Yang, X Ji, M Du, Z Zhang, M Wang, Q Dai Nucleic acids research 45 (15), e143-e143, 2017 | 7 | 2017 |
| Neuroscience meets deep learning D Nathawani, T Sharma, Y Yang CMU 1, 1-8, 2016 | 7 | 2016 |
| Directed adaptive graphical lasso for causality inference Z Ren, Y Yang, F Bao, Y Deng, Q Dai Neurocomputing 173, 1989-1994, 2016 | 5 | 2016 |
| Log-Sum Heuristic Recovery for Automated Isoform Discovery and Abundance Estimation from RNA-Seq data Y Yang, Y Deng, X Ji, Q Dai 2015 5th International Conference on Information Science and Technology …, 2015 | | 2015 |
Jian MaRay and Stephanie Lane Professor of Computational Biology, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
