| Recovering gene interactions from single-cell data using data diffusion D Van Dijk, R Sharma, J Nainys, K Yim, P Kathail, AJ Carr, C Burdziak, ... Cell 174 (3), 716-729. e27, 2018 | 1287* | 2018 |
| Visualizing structure and transitions in high-dimensional biological data KR Moon, D van Dijk, Z Wang, S Gigante, DB Burkhardt, WS Chen, K Yim, ... Nature Biotechnology 37 (12), 1482-1492, 2019 | 686* | 2019 |
| Exploring single-cell data with deep multitasking neural networks M Amodio, D Van Dijk, K Srinivasan, WS Chen, H Mohsen, KR Moon, ... Nature methods 16 (11), 1139-1145, 2019 | 227 | 2019 |
| Manifold learning-based methods for analyzing single-cell RNA-sequencing data KR Moon, JS Stanley III, D Burkhardt, D van Dijk, G Wolf, S Krishnaswamy Current Opinion in Systems Biology 7, 36-46, 2018 | 128 | 2018 |
| Multivariate f-divergence estimation with confidence K Moon, A Hero Advances in Neural Information Processing Systems, 2420-2428, 2014 | 75 | 2014 |
| Ensemble estimation of multivariate f-divergence KR Moon, AO Hero 2014 IEEE International Symposium on Information Theory, 356-360, 2014 | 74 | 2014 |
| Ensemble estimation of mutual information KR Moon, K Sricharan, AO Hero 2017 IEEE International Symposium on Information Theory (ISIT), 3030-3034, 2017 | 51 | 2017 |
| Structural and developmental principles of neuropil assembly in C. elegans MW Moyle, KM Barnes, M Kuchroo, A Gonopolskiy, LH Duncan, ... Nature 591 (7848), 99-104, 2021 | 48 | 2021 |
| Direct estimation of information divergence using nearest neighbor ratios M Noshad, KR Moon, SY Sekeh, AO Hero 2017 IEEE International Symposium on Information Theory (ISIT), 903-907, 2017 | 46 | 2017 |
| Improving Convergence of Divergence Functional Ensemble Estimators KR Moon, K Sricharan, K Greenewald, AO Hero III 2016 IEEE International Symposium on Information Theory, 1133-1137, 2016 | 33 | 2016 |
| Ensemble estimation of information divergence KR Moon, K Sricharan, K Greenewald, AO Hero III Entropy 20 (8), 560, 2018 | 23 | 2018 |
| Extendable and invertible manifold learning with geometry regularized autoencoders AF Duque, S Morin, G Wolf, K Moon 2020 IEEE International Conference on Big Data (Big Data), 5027-5036, 2020 | 22 | 2020 |
| Information theoretic structure learning with confidence KR Moon, M Noshad, SY Sekeh, AO Hero Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017 | 21 | 2017 |
| Nonparametric ensemble estimation of distributional functionals KR Moon, K Sricharan, K Greenewald, AO Hero arXiv preprint arXiv:1601.06884, 2016 | 21 | 2016 |
| Shape similarity measure using turn angle cross-correlation for oyster quality evaluation G Xiong, DJ Lee, KR Moon, RM Lane Journal of food engineering 100 (1), 178-186, 2010 | 21 | 2010 |
| Dissecting alterations in human CD8+ T cells with aging by high-dimensional single cell mass cytometry MS Shin, K Yim, K Moon, HJ Park, S Mohanty, JW Kim, RR Montgomery, ... Clinical Immunology 200, 24-30, 2019 | 18 | 2019 |
| Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis KR Moon, JJ Li, V Delouille, R De Visscher, F Watson, AO Hero III Journal of Space Weather and Space Climate 6, A2, 2016 | 18 | 2016 |
| Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures Y Zhao, M Amodio, B Vander Wyk, B Gerritsen, MM Kumar, D van Dijk, ... PLOS Neglected Tropical Diseases 14 (3), e0008112, 2020 | 17 | 2020 |
| Image patch analysis of sunspots and active regions-II. Clustering via matrix factorization KR Moon, V Delouille, JJ Li, R De Visscher, F Watson, AO Hero Journal of Space Weather and Space Climate 6, A3, 2016 | 17 | 2016 |
| Meta learning of bounds on the Bayes classifier error KR Moon, V Delouille, AO Hero III Signal Processing and Signal Processing Education Workshop (SP/SPE), 2015 …, 2015 | 17 | 2015 |
Guy WolfUniversité de Montréal; MilaVerified email at umontreal.ca
