Selection of sequence motifs and generative Hopfield-Potts models for protein families K Shimagaki, M Weigt Physical Review E 100 (3), 032128, 2019 | 35 | 2019 |
Sparse generative modeling via parameter reduction of Boltzmann machines: application to protein-sequence families P Barrat-Charlaix*, AP Muntoni, K Shimagaki, M Weigt, F Zamponi Physical Review E 104 (2), 024407, 2021 | 22 | 2021 |
Sparse generative modeling of protein-sequence families P Barrat-Charlaix, AP Muntoni, K Shimagaki, M Weigt, F Zamponi arXiv e-prints, arXiv: 2011.11259, 2020 | 4 | 2020 |
Bézier interpolation improves the inference of dynamical models from data K Shimagaki, JP Barton Physical Review E 107 (2), 024116, 2023 | 3 | 2023 |
Collective-variable selection and generative Hopfield-Potts models for protein-sequence families K Shimagaki, M Weigt bioRxiv, 652784, 2019 | 3 | 2019 |
Detectability of epistasis from temporal genetic data K Shimagaki, J Barton Bulletin of the American Physical Society, 2024 | | 2024 |
Inferring epistasis for HIV evolution K Shimagaki, J Barton APS March Meeting Abstracts 2023, Y08. 006, 2023 | | 2023 |
Non-linear interpolation for genetic fitness prediction K Shimagaki, J Barton APS March Meeting Abstracts 2022, A06. 011, 2022 | | 2022 |
Advanced statistical modeling and variable selection for protein sequences K Shimagaki Sorbonne Université, 2021 | | 2021 |
Campagne 2020 Contrats Doctoraux Instituts/Initiatives K Shimagaki, M Muscat | | 2020 |
Selection of sequence motifs and generative Hopfield-Potts models for protein familiesilies K Shimagaki, M Weigt arXiv preprint arXiv:1905.11848, 2019 | | 2019 |
スパース性を仮定したアミノ酸残基間の直接相関推定 島垣凱 日本物理学会講演概要集 74.2, 2310-2310, 2019 | | 2019 |
低ランクモデルを用いたアミノ酸残基の直接相関推定 K Shimagaki, M Weigt 日本物理学会, 2018 | | 2018 |
Contrastive Divergenceにおける系統的バイアスの遷移確率依存性の解析 凱島垣, 眞治藤堂 日本物理学会, 2017 | | 2017 |
Minimum Probability Flowを用いたイジング模型のモデルパラメータ推定と、遷移確率の依存性の解析 凱島垣, 眞治藤堂 日本物理学会, 2016 | | 2016 |