Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Adam Gudyś"'
Autor:
Sebastian Deorowicz, Adam Gudyś
Publikováno v:
SoftwareX, Vol 14, Iss , Pp 100692- (2021)
Identification of genetic variants is of crucial importance in the forthcoming era of precision medicine. Since the majority of variant callers require mapping reads to a reference genome, the reliability of the latter is a key factor determining acc
Externí odkaz:
https://doaj.org/article/e3d603d8688a485690740a8c1bc59d2f
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-13 (2017)
Abstract Background Survival analysis is an important element of reasoning from data. Applied in a number of fields, it has become particularly useful in medicine to estimate the survival rate of patients on the basis of their condition, examination
Externí odkaz:
https://doaj.org/article/b4c0064c7c6a4c5b9bcdd77d5afea76b
Autor:
Adam Gudyś, Sebastian Deorowicz
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e88901 (2014)
Multiple sequence alignment is a crucial task in a number of biological analyses like secondary structure prediction, domain searching, phylogeny, etc. MSAProbs is currently the most accurate alignment algorithm, but its effectiveness is obtained at
Externí odkaz:
https://doaj.org/article/f6f8ad4afe0e4f0582ae8b3fba31270e
Publikováno v:
Current Opinion in Structural Biology. 80:102577
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6becdd24e2df604b9849f9309bb2030
https://doi.org/10.1016/j.sbi.2023.102577
https://doi.org/10.1016/j.sbi.2023.102577
Publikováno v:
Knowledge-Based Systems. 173:1-14
This article presents GuideR, a user-guided rule induction algorithm, which overcomes the largest limitation of the existing methods—the lack of the possibility to introduce user’s preferences or domain knowledge to the rule learning process. Aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b08a1f8cf57667ecc961e28f91c8af82
https://doi.org/10.1016/j.knosys.2019.02.019
https://doi.org/10.1016/j.knosys.2019.02.019
Publikováno v:
Bioinformatics. 35:2043-2050
Motivation Mapping reads to a reference genome is often the first step in a sequencing data analysis pipeline. The reduction of sequencing costs implies a need for algorithms able to process increasing amounts of generated data in reasonable time. Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94e562e52dea7881ddc9b0c510001388
https://doi.org/10.1093/bioinformatics/bty927
https://doi.org/10.1093/bioinformatics/bty927
Rule-based models are often used for data analysis as they combine interpretability with predictive power. We present RuleKit, a versatile tool for rule learning. Based on a sequential covering induction algorithm, it is suitable for classification,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::382a326adf0a9c237ead15bb2f60f3fc
http://arxiv.org/abs/1908.01031
http://arxiv.org/abs/1908.01031
MotivationMapping reads to a reference genome is often the first step in a sequencing data analysis pipeline. Mistakes made at this computationally challenging stage cannot be recovered easily.ResultsWe present Whisper, an accurate and high-performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e554bd264f7742cff14409d2c50be7
Autor:
Adam Gudyś, Sebastian Deorowicz
Publikováno v:
Scientific Reports
Increasing size of sequence databases caused by the development of high throughput sequencing, poses multiple alignment algorithms to face one of the greatest challenges yet. As we show, well-established techniques employed for increasing alignment q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de1afa8d4dbecbff365d2c3632fdca88
https://doi.org/10.1038/srep41553
https://doi.org/10.1038/srep41553
Autor:
Adam Gudyś, Marek Sikora
Publikováno v:
Fundamenta Informaticae. 123:143-170
In the paper we present CHIRA, an algorithm performing decision rules aggregation. New elementary conditions, which are linear combinations of attributes may appear in rule premises during the aggregation, leading to so-called oblique rules. The algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdb62666f83305ee8aa27d898dde2e01
https://doi.org/10.3233/fi-2013-805
https://doi.org/10.3233/fi-2013-805