Munk, Axel

Authors Pelizzola M, Behr M, Li H, Munk A, Futschik A Journal Nature Computational Science Citation Nat Comput Sci 1, 262–271 (2021). Abstract 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

Authors Pein F, Eltzner B, Munk A Journal European Biophysics Journal Citation Eur Biophys J. 2021 Apr 9. Abstract Analysis of patchclamp recordings is often a challenging issue. We give practical guidance how such recordings can be analyzed using the model-free multiscale idealization methodology JSMURF, JULES, and HILDE. We provide

Authors Tameling C, Stoldt S, Stephan T, Naas J, Jakobs S, Munk A Journal Nature Computational Science Citation Nat Comput Sci 1, 199–211 (2021). Abstract Super-resolution fluorescence microscopy is a widely used technique in cell biology. Stimulated emission depletion (STED) microscopy enables the recording of multiple-color images with subdiffraction resolution.

Authors Bartsch A, Ives CM, Kattner C, Pein F, Diehn M, Tanabe M, Munk A, Zachariae U, Steinem C, Llabrés S Journal Biochimica et Biophysica Acta – Biomembranes Citation Biochim Biophys Acta Biomembr. 2021 Mar 3:183601. Abstract Gram-negative bacteria cause the majority of highly drug-resistant bacterial infections. To cross the

Authors Vanegas LJ, Behr M, Munk A Journal Journal of the American Statistical Association Citation Journal of the American Statistical Association. 2021 Jan 27. Abstract We introduce a new methodology for analyzing serial data by quantile regression assuming that the underlying quantile function consists of constant segments. The procedure does

Authors del Alamo M, Li H, Munk A, Werner F Journal Algorithms Citation Algorithms 2020, 13(11), 296. Abstract 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 nonparametric regression

Authors Pein F, Bartsch A, Steinem C, Munk A Journal IEEE Transactions on Nanobioscience Citation IEEE Trans Nanobioscience. 2020 Oct 14;PP. Abstract We propose a new model-free segmentation method for idealizing ion channel recordings. This method is designed to deal with heterogeneity of measurement errors. This in particular applies to

Authors Klatt M, Tameling C, Munk A Journal SIAM Journal on Mathematics of Data Science Citation SIAM Journal on Mathematics of Data Science 2 (2), 419-443. Abstract We derive limit distributions for various empirical regularized optimal transport quantities between probability distributions supported on a finite metric space and show their

Authors Li H, Munk A, Sieling H, Walther G Journal Biometrika Citation Biometrika (2020), 107, 2, pp. 347–364 Abstract The histogram is widely used as a simple, exploratory way of displaying data, but it is usually not clear how to choose the number and size of the bins. We construct

Authors Behr M, Ansari MA, Munk A , Holmes C Journal Proceedings of the National Academy of Sciences of the United States of America Citation PNAS May 5, 2020 117 (18) 9787-9792. Abstract Tree structures, showing hierarchical relationships and the latent structures between samples, are ubiquitous in genomic and biomedical