Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Aritra, Bose"'
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background Identifying variants associated with complex traits is a challenging task in genetic association studies due to linkage disequilibrium (LD) between genetic variants and population stratification, unrelated to the disease risk. Exi
Externí odkaz:
https://doaj.org/article/b16801b30ab94f8399742f8673d3d64b
Publikováno v:
iScience, Vol 27, Iss 3, Pp 109209- (2024)
Summary: GWAS focuses on significance loosing false positives; machine learning probes sub-significant features relying on predictivity. Yet, these are far from orthogonal. We sought to explore how these inform each other in sub-genome-wide significa
Externí odkaz:
https://doaj.org/article/56e2d9b443d74e918965af684164964e
Publikováno v:
Algorithms, Vol 14, Iss 5, p 136 (2021)
As studies move into deeper characterization of the impact of selection through non-neutral mutations in whole genome population genetics, modeling for selection becomes crucial. Moreover, epistasis has long been recognized as a significant component
Externí odkaz:
https://doaj.org/article/a7784e066b244a989a5060a1b11a9dab
The role of race in medical decision-making has been a contentious issue. Insights from history and population genetics suggest considering race as a differentiating marker for medical practices can be influenced by systemic bias, leading to serious
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ae964090e22e2ff691dc9f9722e60e
https://doi.org/10.1101/2023.02.10.23285769
https://doi.org/10.1101/2023.02.10.23285769
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 28
Polygenic risk scores (PRS) are increasingly used to estimate the personal risk of a trait based on genetics. However, most genomic cohorts are of European populations, with a strong under-representation of non-European groups. Given that PRS poorly
Polygenic risk scores (PRS) are increasingly used to estimate the personal risk of a trait based on genetics. However, most genomic cohorts are of European populations, with strong under-representative of multi-ethnic minority groups. Given that PRS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a432fe71f72478602c53b9fe6b2b5b5
https://doi.org/10.1101/2022.08.28.22279309
https://doi.org/10.1101/2022.08.28.22279309
Publikováno v:
Indian Journal of Youth & Adolescent Health. :22-26
Background: Adolescence is a phase during which major developments of sexuality take place. Development of sexuality is an important bio-psycho-social development, which takes an adult shape during this period.Objective: To study how adolescent girls
Publikováno v:
Res Comput Mol Biol
Lecture Notes in Computer Science ISBN: 9783031047480
Lecture Notes in Computer Science ISBN: 9783031047480
Principal component analysis (PCA) is a widely used dimensionality reduction technique in machine learning and multivariate statistics. To improve the interpretability of PCA, various approaches to obtain sparse principal direction loadings have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0d7de34814eaefadbdb0503b06a3b8f
https://doi.org/10.1101/2022.04.21.489052
https://doi.org/10.1101/2022.04.21.489052
The emergence of COVID19 created incredible worldwide challenges but offers unique opportunities to understand the physiology of its risk factors and their interactions with complex disease conditions, such as metabolic syndrome. Epidemiological anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85509b73ad4f2a3da30403d43371cc08
https://doi.org/10.1101/2022.03.31.22273239
https://doi.org/10.1101/2022.03.31.22273239
Autor:
Sanjoy, Dey, Aritra, Bose, Subrata, Saha, Prithwish, Chakraborty, Mohamed, Ghalwash, Aldo, Guzm X E N-Sáenz, Filippo, Utro, Kenney, Ng, Jianying, Hu, Laxmi, Parida, Daby, Sow
Publikováno v:
AMIA Annu Symp Proc
To date, there have been 180 million confirmed cases of COVID-19, with more than 3.8 million deaths, reported to WHO worldwide. In this paper we address the problem of understanding the host genome’s influence, in concert with clinical variables, o