Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Sebastian E Ahnert"'
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-23 (2023)
Abstract To the human eye, different images appear more or less complex, but capturing this intuition in a single aesthetic measure is considered hard. Here, we propose a computationally simple, transparent method for modeling aesthetic complexity as
Externí odkaz:
https://doaj.org/article/a42db8de5af54a9f9d8134c989b7e763
Autor:
Yann C. Ryan, Sebastian E. Ahnert
Publikováno v:
Journal of Cultural Analytics, Vol 6, Iss 3 (2021)
Network analysis of historical correspondence can be a fruitful way to address historical research questions, and has been increasingly used in historical studies over the past decade. As with many areas of quantitative humanities research, the relia
Externí odkaz:
https://doaj.org/article/2a4750b687ab41569a7199dbd1efa12a
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Co-expression networks are a powerful tool to understand gene regulation. They have been used to identify new regulation and function of genes involved in plant development and their response to the environment. Up to now, co-expression networks have
Externí odkaz:
https://doaj.org/article/8dc1f8e39fad47d8bb838b8d2a6c2611
Autor:
Susanna Manrubia, José A. Cuesta, Jacobo Aguirre, Sebastian E. Ahnert, Lee Altenberg, Alejandro V. Cano, Pablo Catalán, Ramon Diaz-Uriarte, Santiago F. Elena, Juan Antonio García-Martín, Paulien Hogeweg, Bhavin S. Khatri, Joachim Krug, Ard A. Louis, Nora S. Martin, Joshua L. Payne, Matthew J. Tarnowski, Marcel Weiß
Publikováno v:
Physics of Life Reviews. 42:19-24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20aeafe2ae40e20b2c2dfe984bb042c9
https://doi.org/10.1016/j.plrev.2022.05.007
https://doi.org/10.1016/j.plrev.2022.05.007
Publikováno v:
Frontiers in Psychiatry, Vol 10 (2019)
The study of brain networks, including those derived from functional neuroimaging data, attracts a broad interest and represents a rapidly growing interdisciplinary field. Comparing networks of healthy volunteers with those of patients can potentiall
Externí odkaz:
https://doaj.org/article/b776711e998f4b8e89f03a04d84ead5c
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 6, p e1006886 (2019)
The self-assembly of proteins into protein quaternary structures is of fundamental importance to many biological processes, and protein misassembly is responsible for a wide range of proteopathic diseases. In recent years, abstract lattice models of
Externí odkaz:
https://doaj.org/article/373d859ee3134cd28b55a49c016a453a
Autor:
Vaibhav Mohanty, Sam F. Greenbury, Tasmin Sarkany, Shyam Narayanan, Kamaludin Dingle, Sebastian E. Ahnert, Ard A. Louis
Phenotype robustness, defined as the average mutational robustness of all the genotypes that map to a given phenotype, plays a key role in facilitating neutral exploration of novel phenotypic variation by an evolving population. By applying results f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e51da3cbcac5a9e06447fd53944b808
https://doi.org/10.1101/2023.03.11.532236
https://doi.org/10.1101/2023.03.11.532236
Selection and variation are both key aspects in the evolutionary process. Previous research on the mapping between molecular sequence (genotype) and molecular fold (phenotype) has shown the presence of several structural properties in different biolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b3df9bf311fc5195acdaaf6fd5ae2f5
https://doi.org/10.1101/2023.02.27.530309
https://doi.org/10.1101/2023.02.27.530309
Autor:
Nora S. Martin, Sebastian E. Ahnert
New folded molecular structures can only evolve after arising through mutations. This aspect is modelled using genotype-phenotype (GP) maps, which connect sequence changes through mutations to changes in molecular structures. Previous work has shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caad1c2622e6d2f25182dd3913d85bf2
https://doi.org/10.1101/2023.02.22.529545
https://doi.org/10.1101/2023.02.22.529545
Fitness landscapes are often described in terms of ‘peaks’ and ‘valleys’, implying an intuitive low-dimensional landscape of the kind encountered in everyday experience. The space of genotypes, however, is extremely high-dimensional, which re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e20cc91075ef0852cc80f1386b862aa8
https://www.repository.cam.ac.uk/handle/1810/338241
https://www.repository.cam.ac.uk/handle/1810/338241