Zobrazeno 1 - 10
of 179
pro vyhledávání: '"J, Freda"'
Autor:
Philip J. Freda, Attri Ghosh, Priyanka Bhandary, Nicholas Matsumoto, Apurva S. Chitre, Jiayan Zhou, Molly A. Hall, Abraham A. Palmer, Tayo Obafemi-Ajayi, Jason H. Moore
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-25 (2024)
Abstract Background The additive model of inheritance assumes that heterozygotes (Aa) are exactly intermediate in respect to homozygotes (AA and aa). While this model is commonly used in single-locus genetic association studies, significant deviation
Externí odkaz:
https://doaj.org/article/fdf760cf2d3745e7b3808633ce145e63
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Background Epistasis, the interaction between genetic loci where the effect of one locus is influenced by one or more other loci, plays a crucial role in the genetic architecture of complex traits. However, as the number of loci considered i
Externí odkaz:
https://doaj.org/article/3e269f6418444f46afe4eff93ada82a9
Autor:
Sandra Batista, Vered Senderovich Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-37 (2024)
Abstract Purpose Epistasis, the interaction between two or more genes, is integral to the study of genetics and is present throughout nature. Yet, it is seldom fully explored as most approaches primarily focus on single-locus effects, partly because
Externí odkaz:
https://doaj.org/article/1366e57e410d486ebca558fd373f3588
Autor:
Chenyu Li, Danielle L. Mowery, Xiaomeng Ma, Rui Yang, Ugurcan Vurgun, Sy Hwang, Hayoung K. Donnelly, Harsh Bandhey, Yalini Senathirajah, Shyam Visweswaran, Eugene M. Sadhu, Zohaib Akhtar, Emily Getzen, Philip J. Freda, Qi Long, Michael J. Becich
Publikováno v:
Journal of Clinical and Translational Science, Vol 8 (2024)
Abstract Background: Social determinants of health (SDoH), such as socioeconomics and neighborhoods, strongly influence health outcomes. However, the current state of standardized SDoH data in electronic health records (EHRs) is lacking, a significa
Externí odkaz:
https://doaj.org/article/37b7cb79dcb041918e57c6a335933a28
Publikováno v:
JMIR Mental Health, Vol 11, p e53366 (2024)
BackgroundInformation regarding opioid use disorder (OUD) status and severity is important for patient care. Clinical notes provide valuable information for detecting and characterizing problematic opioid use, necessitating development of natural lan
Externí odkaz:
https://doaj.org/article/034624413a8845f491e93874e278c532
Autor:
Philip J. Freda, Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya, Celine L. St. Pierre, Jianjun Gao, Connor D. Martin, Hao Chen, Angel G. Garcia-Martinez, Tengfei Wang, Wenyan Han, Keita Ishiwari, Paul Meyer, Alexander Lamparelli, Christopher P. King, Abraham A. Palmer, Ruowang Li, Jason H. Moore
Publikováno v:
BioData Mining, Vol 16, Iss 1, Pp 1-24 (2023)
Abstract Background Quantitative Trait Locus (QTL) analysis and Genome-Wide Association Studies (GWAS) have the power to identify variants that capture significant levels of phenotypic variance in complex traits. However, effort and time are required
Externí odkaz:
https://doaj.org/article/dcc3146814494167aea71969b53c347c
Publikováno v:
BioData Mining, Vol 15, Iss 1, Pp 1-16 (2022)
Abstract The opioid epidemic continues to contribute to loss of life through overdose and significant social and economic burdens. Many individuals who develop problematic opioid use (POU) do so after being exposed to prescribed opioid analgesics. Th
Externí odkaz:
https://doaj.org/article/311ca31af4c64a109249bce25ba4743e
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of OUD and soc
Externí odkaz:
https://doaj.org/article/0254f4582940480fb4e10306f55c5ca6
Autor:
Sandra Batista, Vered Senderovich Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore
Statistical epistasis has been studied extensively because of its potential to provide evidence for genetic interactions for phenotypes, but there have been methodological limitations to its exhaustive, widespread application. We present new algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e51b67f095729f14f695e931795b1ac0
https://doi.org/10.1101/2023.05.09.539940
https://doi.org/10.1101/2023.05.09.539940
Publikováno v:
In Vaccine 19 June 2012 30(29):4307-4309