| Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis MJ Skwark, NJ Croucher, S Puranen, C Chewapreecha, M Pesonen, ... PLoS genetics 13 (2), e1006508, 2017 | 110 | 2017 |
| Genome-wide epistasis and co-selection study using mutual information J Pensar, S Puranen, B Arnold, N MacAlasdair, J Kuronen, G Tonkin-Hill, ... Nucleic acids research 47 (18), e112-e112, 2019 | 41 | 2019 |
| Bayesian signal reconstruction for 1-bit compressed sensing Y Xu, Y Kabashima, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2014 (11), P11015, 2014 | 34 | 2014 |
| SuperDCA for genome-wide epistasis analysis S Puranen, M Pesonen, J Pensar, YY Xu, JA Lees, SD Bentley, ... Microbial genomics 4 (6), e000184, 2018 | 27 | 2018 |
| Statistical mechanics approach to 1-bit compressed sensing Y Xu, Y Kabashima Journal of Statistical Mechanics: Theory and Experiment 2013 (02), P02041, 2013 | 14 | 2013 |
| Inverse finite-size scaling for high-dimensional significance analysis Y Xu, S Puranen, J Corander, Y Kabashima Physical Review E 97 (6), 062112, 2018 | 11 | 2018 |
| Learning performance in inverse Ising problems with sparse teacher couplings A Abbara, Y Kabashima, T Obuchi, Y Xu Journal of Statistical Mechanics: Theory and Experiment 2020 (7), 073402, 2020 | 7 | 2020 |
| Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis A Sakata, Y Xu Journal of Statistical Mechanics: Theory and Experiment 2018 (3), 033404, 2018 | 5 | 2018 |
| Statistical properties of interaction parameter estimates in direct coupling analysis Y Xu, E Aurell, J Corander, Y Kabashima arXiv preprint arXiv:1704.01459, 2017 | 5 | 2017 |
| High-dimensional structure learning of binary pairwise Markov networks: a comparative numerical study J Pensar, Y Xu, S Puranen, M Pesonen, Y Kabashima, J Corander Computational statistics & data analysis 141, 62-76, 2020 | 4 | 2020 |
| High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood K Suotsalo, Y Xu, J Corander, J Pensar Statistics and Computing 31 (73), 2021 | 2 | 2021 |
| Statistical mechanics analysis of thresholding 1-bit compressed sensing Y Xu, Y Kabashima Journal of Statistical Mechanics: Theory and Experiment 2016 (8), 083405, 2016 | 2 | 2016 |
| High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood K Suotsalo, Y Xu, J Corander, J Pensar arXiv preprint arXiv:2011.01484, 2020 | | 2020 |
| 28aAR-13 Generalized Approximate Message Passing for estimation and the application to 1-bit compressed Y Xu, L Zdeborova, Y Kabashima Meeting Abstracts of the Physical Society of Japan 69.1. 2, 323, 2014 | | 2014 |
