Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Said el Bouhaddani"'
Autor:
Said El Bouhaddani, Matthias Höllerhage, Hae-Won Uh, Claudia Moebius, Marc Bickle, Günter Höglinger, Jeanine Houwing-Duistermaat
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 1, p e1011809 (2024)
Data integration methods are used to obtain a unified summary of multiple datasets. For multi-modal data, we propose a computational workflow to jointly analyze datasets from cell lines. The workflow comprises a novel probabilistic data integration m
Externí odkaz:
https://doaj.org/article/d1b5e0f2662c41419ef3577fecd9581c
Autor:
Ezat Rahimi, Mina Shahisavandi, Albert Cid Royo, Mohammad Azizi, Said el Bouhaddani, Naseh Sigari, Miriam Sturkenboom, Fariba Ahmadizar
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
ObjectiveWe developed and validated a prediction model based on individuals' risk profiles to predict the severity of lung involvement and death in patients hospitalized with coronavirus disease 2019 (COVID-19) infection.MethodsIn this retrospective
Externí odkaz:
https://doaj.org/article/57bde8f28b2441fcb98bedcd27e682c5
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
Abstract Background Nowadays, multiple omics data are measured on the same samples in the belief that these different omics datasets represent various aspects of the underlying biological systems. Integrating these omics datasets will facilitate the
Externí odkaz:
https://doaj.org/article/9394c3b18da248748b046986901385dd
Autor:
Said el Bouhaddani, Hae-Won Uh, Geurt Jongbloed, Caroline Hayward, Lucija Klarić, Szymon M. Kiełbasa, Jeanine Houwing-Duistermaat
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-9 (2018)
Abstract Background With the exponential growth in available biomedical data, there is a need for data integration methods that can extract information about relationships between the data sets. However, these data sets might have very different char
Externí odkaz:
https://doaj.org/article/fc230314107d4557be678f1b079e3d7a
Autor:
Said el Bouhaddani, Matthias Höllerhage, Hae-Won Uh, Marc Bickle, Claudia Moebius, Günter U. Höglinger, Jeanine J. Houwing-Duistermaat
Synucleinopathies, such as Parkinson’s disease and multiple system atrophy, are characterized byα-synuclein aggregation in the brain. There is no disease-modifying therapy against synucleinopathies yet. To understand the neurobiological events und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f28521f81bc3967d43a1262d1e539b1
https://doi.org/10.1101/2022.08.10.503452
https://doi.org/10.1101/2022.08.10.503452
Publikováno v:
Theoretical biology forum. 114(1-2)
Multiple technologies which measure the same omics data set but are based on different aspects of the molecules exist. In practice, studies use different technologies and have therefore different biomarkers. An example is the glycan age index, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0ae946587c3a05c1d532cfc31e259e11
https://pubmed.ncbi.nlm.nih.gov/35502731
https://pubmed.ncbi.nlm.nih.gov/35502731
Publikováno v:
Theoretical biology forum. 114(1-2)
Down syndrome (DS) is a condition that leads to precocious and accelerated aging in affected subjects. Several alterations in DS cases have been reported at a molecular level, particularly in methylation and glycosylation. Investigating the relation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::886278acf20396292b29be120143b676
https://pubmed.ncbi.nlm.nih.gov/35502729
https://pubmed.ncbi.nlm.nih.gov/35502729
Publikováno v:
Journal of the Royal Statistical Society Series C
Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(5)
Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(5)
The availability of multi-omics data has revolutionized the life sciences by creating avenues for integrated system-level approaches. Data integration links the information across datasets to better understand the underlying biological processes. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b7c44e44ece692958516249a7440f2
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-18 (2021)
Background Nowadays, multiple omics data are measured on the same samples in the belief that these different omics datasets represent various aspects of the underlying biological systems. Integrating these omics datasets will facilitate the understan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8513df2712b8236c03a533add38eb7e
http://europepmc.org/articles/PMC7977326
http://europepmc.org/articles/PMC7977326