Kevin R. Moon
Cited by
Cited by
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
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
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
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
Multivariate f-divergence estimation with confidence
K Moon, A Hero
Advances in Neural Information Processing Systems, 2420-2428, 2014
Ensemble estimation of multivariate f-divergence
KR Moon, AO Hero
2014 IEEE International Symposium on Information Theory, 356-360, 2014
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
Ensemble estimation of mutual information
KR Moon, K Sricharan, AO Hero
2017 IEEE International Symposium on Information Theory (ISIT), 3030-3034, 2017
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
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
Ensemble estimation of information divergence
KR Moon, K Sricharan, K Greenewald, AO Hero III
Entropy 20 (8), 560, 2018
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
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
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
Geometry-and accuracy-preserving random forest proximities
JS Rhodes, A Cutler, KR Moon
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
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
Information theoretic structure learning with confidence
KR Moon, M Noshad, SY Sekeh, AO Hero
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
Nonparametric ensemble estimation of distributional functionals
KR Moon, K Sricharan, K Greenewald, AO Hero
arXiv preprint arXiv:1601.06884, 2016
Coarse Graining of Data via Inhomogeneous Diffusion Condensation
N Brugnone, A Gonopolskiy, MW Moyle, M Kuchroo, D van Dijk, KR Moon, ...
2019 IEEE International Conference on Big Data (Big Data), 2624-2633, 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
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