AMON: annotation of metabolite origins via networks to integrate microbiome and metabolome data M Shaffer, K Thurimella, K Quinn, K Doenges, X Zhang, S Bokatzian, ... BMC bioinformatics 20, 1-11, 2019 | 41 | 2019 |
SCNIC: Sparse correlation network investigation for compositional data M Shaffer*, K Thurimella*, JD Sterrett, CA Lozupone BioRxiv, 2020.11. 13.380733, 2022 | 23 | 2022 |
Gut microbiome and metabolome profiling in Framingham heart study reveals cholesterol-metabolizing bacteria C Li, M Stražar, AMT Mohamed, JA Pacheco, RL Walker, T Lebar, S Zhao, ... Cell 187 (8), 1834-1852. e19, 2024 | 1 | 2024 |
Protein Language Models Uncover Carbohydrate-Active Enzyme Function in Metagenomics K Thurimella, AMT Mohamed, DB Graham, RM Owens, SL La Rosa, ... bioRxiv, 2023 | 1 | 2023 |
Using rule induction to elucidate co-occurance patterns in microbial data KK Thurimella University of Colorado, Boulder, 2013 | 1 | 2013 |
Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond L Wells, K Thurimella, S Bacallado arXiv preprint arXiv:2403.02979, 2024 | | 2024 |
EMPLOYING METABOLOMICS AND MICROBIOME DATA TO BUILD ALGORITHMS FOR INTERROGATING HOST-MICROBE INTERACTIONS K Thurimella, M Shaffer, C Lozupone JOURNAL OF INVESTIGATIVE MEDICINE 68, A110-A110, 2020 | | 2020 |
Protein Language Models Uncover Carbohydrate Active Enzyme Function in the Microbiome K Thurimella, D Plichta, R Xavier, S Bacallado, R Owens Research Conference, 23, 2019 | | 2019 |