Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mateusz Susik"'
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Modern microscopes can generate high volumes of 3D images, driving difficulties in data handling and processing. Here, the authors present a content-adaptive image representation as an alternative to standard pixels that goes beyond data compression
Externí odkaz:
https://doaj.org/article/76b3cb7eac1b4e3ca9f1de3e9da886cb
Autor:
Mateusz Susik, Ivo F. Sbalzarini
We provide an internal validation study of a recently published precise DNA mixture algorithm based on Hamiltonian Monte Carlo sampling [1]. We provide results for all 428 mixtures analysed by Riman et al. [2] and compare the results with two state-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66efce248996b2152346a88e11a4416b
https://doi.org/10.1101/2022.08.28.505600
https://doi.org/10.1101/2022.08.28.505600
Autor:
Mateusz Susik, Ivo F. Sbalzarini
Publikováno v:
Forensic Science International: Genetics. 65:102890
We investigate a class of DNA mixture deconvolution algorithms based on variational inference, and we show that this can significantly reduce computational runtimes with little or no effect on the accuracy and precision of the result. In particular,
Publikováno v:
Forensic science international. Genetics
MotivationAnalysing mixed DNA profiles is a common task in forensic genetics. Due to the complexity of the data, such analysis is often performed using Markov Chain Monte Carlo (MCMC)-based genotyping algorithms. These trade off precision against exe
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Nature communications
Nature Communications
Nature communications
Nature Communications
Modern microscopes create a data deluge with gigabytes of data generated each second, and terabytes per day. Storing and processing this data is a severe bottleneck, not fully alleviated by data compression. We argue that this is because images are p
Modern microscopy modalities create a data deluge with gigabytes of data generated each second, and terabytes per day. Storing and processing these data is a severe bottleneck, not fully alleviated by data compression. We argue that this is because i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc8834f69fe9fea5702b41789c2958c0
https://doi.org/10.1101/263061
https://doi.org/10.1101/263061
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319458793
KESW
KESW
Author name disambiguation in bibliographic databases is the problem of grouping together scientific publications written by the same person, accounting for potential homonyms and/or synonyms. Among solutions to this problem, digital libraries are in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9cefbaa732b4f920bf362519b0ea925