Zobrazeno 1 - 10
of 278
pro vyhledávání: '"microbiome data"'
Publikováno v:
Microbiome, Vol 12, Iss 1, Pp 1-14 (2024)
Abstract Background Advances in sequencing technology has led to the discovery of associations between the human microbiota and many diseases, conditions, and traits. With the increasing availability of microbiome data, many statistical methods have
Externí odkaz:
https://doaj.org/article/f8b1f6e99b7f4de99a7ca265fa6f8bea
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
MotivationHigh-throughput sequencing technology facilitates the quantitative analysis of microbial communities, improving the capacity to investigate the associations between the human microbiome and diseases. Our primary motivating application is to
Externí odkaz:
https://doaj.org/article/fb099795be7c4415ac6f8e447067bf6c
Akademický článek
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Publikováno v:
BMC Microbiology, Vol 23, Iss 1, Pp 1-19 (2023)
Abstract Background It has been demonstrated in the literature that a dysbiotic microbiome could have a negative impact on the host immune system and promote disease onset or exacerbation. Co-occurrence networks have been widely adopted to identify b
Externí odkaz:
https://doaj.org/article/adac0d0b7d964dc19f97a609c7d3703d
Akademický článek
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Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 4804-4815 (2023)
The human microbiome is an emerging research frontier due to its profound impacts on health. High-throughput microbiome sequencing enables studying microbial communities but suffers from analytical challenges. In particular, the lack of dedicated pre
Externí odkaz:
https://doaj.org/article/455954e4c90b418396db2c5ed9be092e
Publikováno v:
Bioengineering, Vol 11, Iss 1, p 60 (2024)
The field of the human microbiome is rapidly growing due to the recent advances in high-throughput sequencing technologies. Meanwhile, there have also been many new analytic pipelines, methods and/or tools developed for microbiome data preprocessing
Externí odkaz:
https://doaj.org/article/8b0f0fa309a3456a9edfe9adf219a37a
Autor:
Georgios Papoutsoglou, Sonia Tarazona, Marta B. Lopes, Thomas Klammsteiner, Eliana Ibrahimi, Julia Eckenberger, Pierfrancesco Novielli, Alberto Tonda, Andrea Simeon, Rajesh Shigdel, Stéphane Béreux, Giacomo Vitali, Sabina Tangaro, Leo Lahti, Andriy Temko, Marcus J. Claesson, Magali Berland
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Microbiome data predictive analysis within a machine learning (ML) workflow presents numerous domain-specific challenges involving preprocessing, feature selection, predictive modeling, performance estimation, model interpretation, and the extraction
Externí odkaz:
https://doaj.org/article/a35769259f1946d3b9af729120cec4fd
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
Conventional dimensionality reduction methods like Multidimensional Scaling (MDS) are sensitive to the presence of orthogonal outliers, leading to significant defects in the embedding. We introduce a robust MDS method, called DeCOr-MDS (Detection and
Externí odkaz:
https://doaj.org/article/cf0f0aa2441b471a94883a7577c297dd
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 3 (2023)
ABSTRACT Investigators have studied the treatment effects on human health or disease, the treatment effects on human microbiome, and the roles of the microbiome on human health or disease. Especially, in a clinical trial, investigators commonly trace
Externí odkaz:
https://doaj.org/article/50622f86ef2042e58ddf12f3d101d3b5