Wolfgang Zu Castell
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Explore the profile of Wolfgang Zu Castell including associated specialties, affiliations and a list of published articles.
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17
Citations
444
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Recent Articles
1.
Zoller H, Garcia Perez C, Betel Geijo Fernandez J, Zu Castell W
PLoS Comput Biol
. 2024 Sep;
20(9):e1012359.
PMID: 39288161
Considering biological systems as information processing entities and analyzing their organizational structure via information-theoretic measures has become an established approach in life sciences. We transfer this framework to a field...
2.
Efficient Detection of Longitudinal Bacteria Fission Using Transfer Learning in Deep Neural Networks
Garcia-Perez C, Ito K, Geijo J, Feldbauer R, Schreiber N, Zu Castell W
Front Microbiol
. 2021 Jun;
12:645972.
PMID: 34168623
A very common way to classify bacteria is through microscopic images. Microscopic cell counting is a widely used technique to measure microbial growth. To date, fully automated methodologies are available...
3.
Esteve-Codina A, Hofer T, Burggraf D, Heiss-Neumann M, Gesierich W, Boland A, et al.
Sci Rep
. 2021 Jun;
11(1):12848.
PMID: 34145303
Chronic obstructive pulmonary disease (COPD) is a destructive inflammatory disease and the genes expressed within the lung are crucial to its pathophysiology. We have determined the RNAseq transcriptome of bronchial...
4.
Zu Castell W, Schrenk H
Sci Rep
. 2020 Oct;
10(1):18175.
PMID: 33097789
Gunderson's and Holling's adaptive cycle metaphor provides a qualitative description of the development of a dynamically evolving complex system. According to the metaphor, a complex system alternately passes through phases...
5.
Ispiryan R, Grigoriev I, Zu Castell W, Sch Ffner A
Funct Plant Biol
. 2020 Jun;
40(10):1065-1075.
PMID: 32481174
In studies of environmental effects on plant growth, the images of plants are often used for non-destructive measurements in phenotyping. In this work, a computational procedure has been developed to...
6.
Endesfelder D, Zu Castell W, Bonifacio E, Rewers M, Hagopian W, She J, et al.
Diabetes
. 2018 Oct;
68(1):119-130.
PMID: 30305370
Progression to clinical type 1 diabetes varies among children who develop β-cell autoantibodies. Differences in autoantibody patterns could relate to disease progression and etiology. Here we modeled complex longitudinal autoantibody...
7.
Walker A, Pfitzner B, Harir M, Schaubeck M, Calasan J, Heinzmann S, et al.
Sci Rep
. 2017 Sep;
7(1):11047.
PMID: 28887494
The gut microbiota generates a huge pool of unknown metabolites, and their identification and characterization is a key challenge in metabolomics. However, there are still gaps on the studies of...
8.
Engel M, Endesfelder D, Schloter-Hai B, Kublik S, Granitsiotis M, Boschetto P, et al.
PLoS One
. 2017 Jul;
12(7):e0180859.
PMID: 28704452
Background: Changes in microbial community composition in the lung of patients suffering from moderate to severe COPD have been well documented. However, knowledge about specific microbiome structures in the human...
9.
Endesfelder D, Hagen M, Winkler C, Haupt F, Zillmer S, Knopff A, et al.
Diabetologia
. 2016 Jul;
59(10):2172-80.
PMID: 27400691
Aims/hypothesis: Progression to type 1 diabetes in children and adolescents is not uniform. Based on individual genetic background and environment, islet autoimmunity may develop at variable age, exhibit different autoantibody...
10.
Subramanian D, Gupta S, Burggraf D, Vom Silberberg S, Heimbeck I, Heiss-Neumann M, et al.
Eur Respir J
. 2016 May;
48(1):92-103.
PMID: 27230444
EvA (Emphysema versus Airway disease) is a multicentre project to study mechanisms and identify biomarkers of emphysema and airway disease in chronic obstructive pulmonary disease (COPD). The objective of this...