Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Mária Lucká"'
Publikováno v:
Folia Neuropathologica, Vol 60, Iss 1, Pp 48-59 (2022)
This study aims to demonstrate the effectiveness of rehabilitation in patients with limb-girdle disease, who were given a home exercise program and called for follow-up in certain periods by observing the functional areas of the shoulder and pelvic g
Externí odkaz:
https://doaj.org/article/4088691949474053870c204a37d5f55e
Publikováno v:
Evolutionary Bioinformatics, Vol 15 (2019)
Computing similarity between 2 nucleotide sequences is one of the fundamental problems in bioinformatics. Current methods are based mainly on 2 major approaches: (1) sequence alignment, which is computationally expensive, and (2) faster, but less acc
Externí odkaz:
https://doaj.org/article/413c98a6db3544fbaf11be15be0fcd4e
Autor:
Jozef Sitarčík, Tomáš Vinař, Broňa Brejová, Werner Krampl, Jaroslav Budiš, Ján Radvánszky, Mária Lucká
MotivationShort tandem repeats (STRs) are regions of a genome containing many consecutive copies of the same short motif, possibly with small variations. Analysis of STRs has many clinical uses, but is limited by technology mainly due to STRs surpass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3ce61ad442e789e4629bf81bf03f123
https://doi.org/10.1101/2022.11.05.515275
https://doi.org/10.1101/2022.11.05.515275
Publikováno v:
Journal of Intelligent Information Systems. 53:219-239
This paper presents a comparison of the impact of various unsupervised ensemble learning methods on electricity load forecasting. The electricity load from consumers is simply aggregated or optimally clustered to more predictable groups by cluster an
Autor:
Mária Lucká, Peter Laurinec
Publikováno v:
Data Mining and Knowledge Discovery. 33:413-445
This paper presents a new interpretable approach for multiple data streams clustering in a smart grid used for the improvement of forecasting accuracy of aggregated electricity consumption and grid analysis named ClipStream. Consumers time series str
Publikováno v:
Scopus-Elsevier
Autor:
Mária Lucká, Jozef Sitarčík
Publikováno v:
2019 IEEE 15th International Scientific Conference on Informatics.
Detection of epistatic interactions associated with diseases can improve prevention and diagnosis of those diseases. Epistatic interactions are nonlinear interaction effects of single nucleotide polymorphisms (SNPs), which are substitution mutations
Autor:
Peter Laurinec, Mária Lucká
Publikováno v:
Open Computer Science, Vol 8, Iss 1, Pp 38-50 (2018)
This paper presents a new method for forecasting a load of individual electricity consumers using smart grid data and clustering. The data from all consumers are used for clustering to create more suitable training sets to forecasting methods. Before
Publikováno v:
Practical Applications of Computational Biology and Bioinformatics, 13th International Conference ISBN: 9783030238728
PACBB
PACBB
Identification of cellular populations is the first step in analyzing cytometry data. To identify both abundant and outlying rare cellular populations a density-based preprocessing of data to equalize representations of populations is needed. Density
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7534a5f36f1b69b3790601e316e80438
https://doi.org/10.1007/978-3-030-23873-5_11
https://doi.org/10.1007/978-3-030-23873-5_11
Autor:
Mária Lucká, Jozef Sitarčík
Publikováno v:
Practical Applications of Computational Biology and Bioinformatics, 13th International Conference ISBN: 9783030238728
PACBB
PACBB
Mapping reads to a reference genome is the first and very important step in genome analysis. One of the most used data structure for DNA read mapping is the FM-index. To this day many different variants of the FM-index exist. In the proposed paper we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc29ec1d1ec06bc89b7e2efdb7b5c98f
https://doi.org/10.1007/978-3-030-23873-5_6
https://doi.org/10.1007/978-3-030-23873-5_6