| Bioconductor workflow for microbiome data analysis: from raw reads to community analyses BJ Callahan, K Sankaran, JA Fukuyama, PJ McMurdie, SP Holmes F1000Research 5, 2016 | 323 | 2016 |
| Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... arXiv preprint arXiv:1906.05433, 2019 | 126 | 2019 |
| HIV-1 protease, reverse transcriptase, and integrase variation SY Rhee, K Sankaran, V Varghese, MA Winters, CB Hurt, JJ Eron, ... Journal of virology 90 (13), 6058-6070, 2016 | 67 | 2016 |
| Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment J Fukuyama, L Rumker, K Sankaran, P Jeganathan, L Dethlefsen, ... PLoS computational biology 13 (8), e1005706, 2017 | 40 | 2017 |
| structSSI: simultaneous and selective inference for grouped or hierarchically structured data K Sankaran, S Holmes Journal of statistical software 59 (13), 1, 2014 | 38 | 2014 |
| Latent variable modeling for the microbiome K Sankaran, SP Holmes Biostatistics 20 (4), 599-614, 2019 | 26 | 2019 |
| Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, and Yoshua Bengio. Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... arXiv preprint arXiv:1906.05433, 2019 | 26 | 2019 |
| Sex-specific association between gut microbiome and fat distribution Y Min, X Ma, K Sankaran, Y Ru, L Chen, M Baiocchi, S Zhu Nature communications 10 (1), 1-9, 2019 | 24 | 2019 |
| Visualizing the consequences of climate change using cycle-consistent adversarial networks V Schmidt, A Luccioni, SK Mukkavilli, N Balasooriya, K Sankaran, ... arXiv preprint arXiv:1905.03709, 2019 | 15 | 2019 |
| Bioconductor workflow for microbiome data analysis: from raw reads to community analyses. F1000Research. 2016; 5: 1492 BJ Callahan, K Sankaran, JA Fukuyama, PJ McMurdie, SP Holmes | 10 | |
| Multitable methods for microbiome data integration K Sankaran, SP Holmes Frontiers in genetics 10, 627, 2019 | 8 | 2019 |
| Hierarchical importance weighted autoencoders CW Huang, K Sankaran, E Dhekane, A Lacoste, A Courville International Conference on Machine Learning, 2869-2878, 2019 | 7 | 2019 |
| Tackling climate change with machine learning (2019) D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... arXiv preprint arxiv:1906.05433, 1906 | 6 | 1906 |
| Highres-net: Recursive fusion for multi-frame super-resolution of satellite imagery M Deudon, A Kalaitzis, I Goytom, MR Arefin, Z Lin, K Sankaran, ... arXiv preprint arXiv:2002.06460, 2020 | 5 | 2020 |
| Interactive visualization of hierarchically structured data K Sankaran, S Holmes Journal of Computational and Graphical Statistics 27 (3), 553-563, 2018 | 4 | 2018 |
| HighRes-net: Multi-frame super-resolution by recursive fusion M Deudon, A Kalaitzis, MR Arefin, I Goytom, Z Lin, K Sankaran, ... | 3 | 2019 |
| Improving Online Course Performance Through Customization: An Empirical Study Using Business Analytics S Sankaran, K Sankaran International Journal of Business Analytics (IJBAN) 3 (4), 1-20, 2016 | 2 | 2016 |
| Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks V Schmidt, M Alghali, K Sankaran, T Yuan, Y Bengio arXiv preprint arXiv:2002.07579, 2020 | 1 | 2020 |
| Interpreting black-box semantic segmentation models in remote sensing applications A Janik, K Sankaran, A Ortiz The Eurographics Association, 2019 | 1 | 2019 |
| Discovery and visualization of latent structure with applications to the microbiome K Sankaran Stanford University, 2018 | 1 | 2018 |
Julia FukuyamaAssistant Professor, Department of Statistics, Indiana University BloomingtonVerified email at fhcrc.org
