Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Axel Munk"'
Autor:
Julia Naas, Giacomo Nies, Housen Li, Stefan Stoldt, Bernhard Schmitzer, Stefan Jakobs, Axel Munk
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract With recent advances in multi-color super-resolution light microscopy, it is possible to simultaneously visualize multiple subunits within biological structures at nanometer resolution. To optimally evaluate and interpret spatial proximity o
Externí odkaz:
https://doaj.org/article/37b9830a337047ffbb8080680719f780
Autor:
Oskar Laitenberger, Timo Aspelmeier, Thomas Staudt, Claudia Geisler, Axel Munk, Alexander Egner
Publikováno v:
Nanomaterials, Vol 13, Iss 3, p 459 (2023)
With the advent of fluorescence superresolution microscopy, nano-sized structures can be imaged with a previously unprecedented accuracy. Therefore, it is rapidly gaining importance as an analytical tool in the life sciences and beyond. However, the
Externí odkaz:
https://doaj.org/article/cfa4ed482351455687b8085525a314c7
Publikováno v:
Algorithms, Vol 13, Iss 11, p 296 (2020)
Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametr
Externí odkaz:
https://doaj.org/article/65a8765b1edf493db90820651cfdc028
Autor:
Anna Blob, David Ventzke, Giacomo Nies, Jan Niklas Dühmert, Bernhard Schmitzer, Axel Munk, Laura Schaedel, Sarah Köster
The eukaryotic cytoskeleton comprises three types of mechanically distinct biopoly-mers – actin filaments, microtubules and intermediate filaments (IFs)– along with pas-sive crosslinkers and active molecular motors. Among these filament types, IF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98cdefe423ad2778569640e06bf5b552
https://doi.org/10.1101/2023.04.19.537509
https://doi.org/10.1101/2023.04.19.537509
Autor:
Merle Behr, Axel Munk
Publikováno v:
SIAM Journal on Mathematics of Data Science. 4:490-513
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b20a4f84deeb60bd4838290f6d5705ba
https://doi.org/10.1137/21m1398860
https://doi.org/10.1137/21m1398860
Publikováno v:
SIAM Journal on Mathematics of Data Science. 4:229-259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4f569334ffdc2a863ea831c821d90e7
https://doi.org/10.1137/20m1385263
https://doi.org/10.1137/20m1385263
Publikováno v:
Nature Computational Science. 1:262-271
Because haplotype information is of widespread interest in biomedical applications, effort has been put into their reconstruction. Here, we propose an efficient method, called haploSep, that is able to accurately infer major haplotypes and their freq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5e758bbdea9397467a4036b692ba57e
https://doi.org/10.1038/s43588-021-00056-5
https://doi.org/10.1038/s43588-021-00056-5
Autor:
Axel Munk, Miguel del Alamo
Publikováno v:
Information and Inference: A Journal of the IMA. 9:961-986
Even though the statistical theory of linear inverse problems is a well-studied topic, certain relevant cases remain open. Among these is the estimation of functions of bounded variation ($BV$), meaning $L^1$ functions on a $d$-dimensional domain who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e511a1ecdbe5ee1190a0d91b81e73a99
https://doi.org/10.1093/imaiai/iaaa001
https://doi.org/10.1093/imaiai/iaaa001
Publikováno v:
SIAM Journal on Mathematics of Data Science. 2:419-443
We derive limit distributions for certain empirical regularized optimal transport distances between probability distributions supported on a finite metric space and show consistency of the (naive) bootstrap. In particular, we prove that the empirical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c44dd38719afd78cf70f1759058e5fdd
https://doi.org/10.1137/19m1278788
https://doi.org/10.1137/19m1278788
We consider a general linear program in standard form whose right-hand side constraint vector is subject to random perturbations. For the corresponding random linear program, we characterize under general assumptions the random fluctuations of the em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa00567c75830ca77b16c078d400025a
https://www.repository.cam.ac.uk/handle/1810/339612
https://www.repository.cam.ac.uk/handle/1810/339612