Analysis of Conditional and Marginal Association in One-Mode Three-Way Proximity Data

Author(s):  
Atsuho Nakayama
Author(s):  
Muhammad Awais Azam ◽  
Jonathan Loo ◽  
Aboubaker Lasebae ◽  
Sardar Kashif Ashraf Khan ◽  
Waleed Ejaz
Keyword(s):  

2021 ◽  
Author(s):  
Shanshan Xu ◽  
Jiangping Kong ◽  
Li Huang ◽  
Huimin Xie ◽  
Feier Wang ◽  
...  

Abstract ObjectiveTo investigate the role of eight locus polymorphisms of tumor necrosis factor receptor associated factor 2 (TRAF2) and TRAF5 gene and their interaction in the susceptibility to ankylosing spondylitis (AS) in Chinese Han population.MethodsEight single nucleotide polymorphisms (SNPs) (rs3750511, rs10781522, rs17250673, rs59471504, rs6540679, rs12569232, rs4951523, rs7514863) of TRAF2 and TRAF5 gene were genotyped in 673 AS patients and 687 controls.ResultsThe SNPs of TRAF2 and TRAF5 does not indicate a correlation with the susceptibility of AS in Chinese Han population. Genotype frequencies of rs3750511were statistically significant in females between patients and controls. The genotype frequencies of rs12569232 and allele frequencies of rs3750511were statistically significant between groups of different diseases activity. One three-locus model, TRAF2 (rs10781522, rs17250673) and TRAF5 (rs12569232), had a maximum testing accuracy of 52.67% and a maximum cross-validation consistency (10/10) that was significant at the level of P=0.0001, after determined empirically by permutation testing. As to environmental variables, only marginal association was found between sleep quality and AS susceptibility.ConclusionTRAF2 rs3750511 polymorphism may be associated with the susceptibility and severity of AS. Besides, the interaction of TRAF2 and TRAF5 genes may be associated with AS susceptibility, but many open questions remain.


Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1267 ◽  
Author(s):  
Macarena Espinilla ◽  
Javier Medina ◽  
Chris Nugent

Many real-world applications, which are focused on addressing the needs of a human, require information pertaining to the activities being performed. The UCAmI Cup is an event held within the context of the International Conference on Ubiquitous Computing and Ambient Intelligence, where delegates are given the opportunity to use their tools and techniques to analyse a previously unseen human activity recognition dataset and to compare their results with others working in the same domain. In this paper, the human activity recognition dataset used relates to activities of daily living generated in the UJAmI Smart Lab, University of Jaén. The dataset chosen for the first edition of the UCAmI Cup represents 246 activities performed over a period of ten days carried out by a single inhabitant. The dataset includes four data sources: (i) event streams from 30 binary sensors, (ii) intelligent floor location data, (iii) proximity data between a smart watch worn by the inhabitant and 15 Bluetooth Low Energy beacons and (iv) acceleration of the smart watch. In this first edition of the UCAmI Cup, 26 participants from 10 different countries contacted the organizers to obtain the dataset.‬‬‬‬‬


Author(s):  
Christoph Scholz ◽  
Stephan Doerfel ◽  
Martin Atzmueller ◽  
Andreas Hotho ◽  
Gerd Stumme

2021 ◽  
Author(s):  
Hari T S Narayanan

The data is generated using analytical model for analysis


2021 ◽  
Author(s):  
Hari T S Narayanan

The data is generated using analytical model for analysis


Author(s):  
David Eppstein ◽  
Michael T. Goodrich ◽  
Nil Mamano

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