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Florian Pein
Florian Pein
在 lancaster.ac.uk 的电子邮件经过验证
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引用次数
引用次数
年份
Heterogeneous change point inference
F Pein, H Sieling, A Munk
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
922017
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
222018
stepR: Multiscale change-point inference
F Pein, T Hotz, H Sieling, T Aspelmeier
R package version, 2.1-1, 2020
172020
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
172019
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
162021
Analysis of patchclamp recordings: model-free multiscale methods and software
F Pein, B Eltzner, A Munk
European Biophysics Journal 50, 187-209, 2021
92021
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
82020
Cross-validation for change-point regression: pitfalls and solutions
F Pein, RD Shah
arXiv preprint arXiv:2112.03220, 2021
22021
Heterogeneous multiscale change-point inference and its application to ion channel recordings
F Pein
Georg-August-Universität Göttingen, 2017
22017
R package stepR Multiscale change-point inference
F Pein, A Munk
12023
Change-point regression with a smooth additive disturbance
F Pein
arXiv preprint arXiv:2112.03878, 2021
12021
Piecewise smooth regression by bootstrapped binary segmentation
K McDaid, F Pein
2022
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