Heterogeneous change point inference F Pein, H Sieling, A Munk Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 92 | 2017 |
Fully automatic multiresolution idealization for filtered ion channel recordings: flickering event detection F Pein, I Tecuapetla-Gómez, OM Schütte, C Steinem, A Munk IEEE transactions on nanobioscience 17 (3), 300-320, 2018 | 22 | 2018 |
stepR: Multiscale change-point inference F Pein, T Hotz, H Sieling, T Aspelmeier R package version, 2.1-1, 2020 | 17 | 2020 |
High-resolution experimental and computational electrophysiology reveals weak β-lactam binding events in the porin PorB A Bartsch, S Llabrés, F Pein, C Kattner, M Schön, M Diehn, M Tanabe, ... Scientific Reports 9 (1), 1264, 2019 | 17 | 2019 |
An antibiotic-resistance conferring mutation in a neisserial porin: Structure, ion flux, and ampicillin binding A Bartsch, CM Ives, C Kattner, F Pein, M Diehn, M Tanabe, A Munk, ... Biochimica et Biophysica Acta (BBA)-Biomembranes 1863 (6), 183601, 2021 | 16 | 2021 |
Analysis of patchclamp recordings: model-free multiscale methods and software F Pein, B Eltzner, A Munk European Biophysics Journal 50, 187-209, 2021 | 9 | 2021 |
Heterogeneous Idealization of Ion Channel Recordings–Open Channel Noise F Pein, A Bartsch, C Steinem, A Munk IEEE Transactions on NanoBioscience 20 (1), 57-78, 2020 | 8 | 2020 |
Cross-validation for change-point regression: pitfalls and solutions F Pein, RD Shah arXiv preprint arXiv:2112.03220, 2021 | 2 | 2021 |
Heterogeneous multiscale change-point inference and its application to ion channel recordings F Pein Georg-August-Universität Göttingen, 2017 | 2 | 2017 |
R package stepR Multiscale change-point inference F Pein, A Munk | 1 | 2023 |
Change-point regression with a smooth additive disturbance F Pein arXiv preprint arXiv:2112.03878, 2021 | 1 | 2021 |
Piecewise smooth regression by bootstrapped binary segmentation K McDaid, F Pein | | 2022 |