A social perspective on perceived distances reveals deep community structure KS Berenhaut, KE Moore, RL Melvin Proceedings of the National Academy of Sciences 119 (4), e2003634119, 2022 | 18 | 2022 |
Patterns of negative shifts and beta-shifts S Elizalde, K Moore arXiv preprint arXiv:1512.04479, 2015 | 9 | 2015 |
Random walk null models for time series data D DeFord, K Moore Entropy 19 (11), 615, 2017 | 4 | 2017 |
Hotspot detection in pancreatic neuroendocrine images using local depth MKK Niazi, K Moore, KS Berenhaut, DJ Hartman, L Pantanowitz, ... Medical Imaging 2020: Digital Pathology 11320, 41-46, 2020 | 1 | 2020 |
Informative community structure revealed using Arabidopsis time series transcriptome data via partitioned local depth MG Khoury, KS Berenhaut, KE Moore, EE Allen, AF Harkey, ... in silico Plants 6 (1), diad018, 2024 | | 2024 |
Mathematical Foundations of Data Cohesion KE Moore arXiv preprint arXiv:2308.02546, 2023 | | 2023 |
Partitioned Local Depth analysis of time course transcriptomic data reveals elaborate community structure MG Khoury, KS Berenhaut, KE Moore, EE Allen, AF Harkey, ... bioRxiv, 2022.07. 25.501352, 2022 | | 2022 |
Characterizations and enumerations of patterns of signed shifts S Elizalde, K Moore Discrete Applied Mathematics 277, 92-114, 2020 | | 2020 |
Cohesion and Communities: Leveraging Human Expertise and Perspective K Moore 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
Partitioned Local Depth analysis of time course transcriptomic data reveals MG Khoury, KS Berenhaut, KE Moore, EE Allen, AF Harkey, ... | | |
Communities in Data: Partitioned Local Depth K Moore 2022 Virtual Joint Mathematics Meetings (JMM 2022), 0 | | |
Patterns of Negative Shifts and Signed Shifts K Archer, S Elizalde, K Moore | | |