Multilayer networks for text analysis with multiple data types

Autor: Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann

Publikováno v: EPJ Data Science, Vol 10, Iss 1, Pp 1-16 (2021)

Abstract We are interested in the widespread problem of clustering documents and finding topics in large collections of written documents in the presence of metadata and hyperlinks. To tackle the challenge of accounting for these different types of d

Externí odkaz: https://doaj.org/article/4b9e5123e3de42f9a6295b26d8443f1d

Prognostic impact of systolic blood pressure variability in people with diabetes.

Autor: Katy J L Bell, Lamiae Azizi, Peter M Nilsson, Andrew Hayen, Les Irwig, Carl J Östgren, Johan Sundröm

Publikováno v: PLoS ONE, Vol 13, Iss 4, p e0194084 (2018)

OBJECTIVE:Blood pressure variability (BPV) has been associated with risk of cardiovascular events in observational studies, independently of mean BP levels. In states with higher autonomic imbalance, such as in diabetes, the importance of BP variabil

Externí odkaz: https://doaj.org/article/ad3f3cbe77db43d285b94049c2eb6f0d

Identifying cell types from spatially referenced single-cell expression datasets.

Autor: Jean-Baptiste Pettit, Raju Tomer, Kaia Achim, Sylvia Richardson, Lamiae Azizi, John Marioni

Publikováno v: PLoS Computational Biology, Vol 10, Iss 9, p e1003824 (2014)

Complex tissues, such as the brain, are composed of multiple different cell types, each of which have distinct and important roles, for example in neural function. Moreover, it has recently been appreciated that the cells that make up these sub-cell

Externí odkaz: https://doaj.org/article/62839f78864e41db9e833827bea36527

Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data

Autor: Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi

High-dimensional classification and feature selection tasks are ubiquitous with the recent advancement in data acquisition technology. In several application areas such as biology, genomics, and proteomics, the data are often functional in their natu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5c7031b3fa098e40a925123b0134eb9

Associations of pigmentary and naevus phenotype with melanoma risk in two populations with comparable ancestry but contrasting levels of ambient sun exposure

Autor: Florence Demenais, Helen Schmid, G.G. Giles, Mark A. Jenkins, Julia Newton-Bishop, Alisa M. Goldstein, Lamiae Azizi, Bruce K. Armstrong, Martin Drummond, P.A. Kanetsky, Richard F. Kefford, Jennifer H. Barrett, Anne E. Cust, John L. Hopper, David E. Elder, D T Bishop, Graham J. Mann, Joanne F. Aitken

Publikováno v: Journal of the European Academy of Dermatology and Venereology
Journal of the European Academy of Dermatology and Venereology : JEADV, vol 33, iss 10

Background People at high risk of developing melanoma are usually identified by pigmentary and naevus phenotypes. Objective We examined whether associations of these phenotypes with melanoma risk differed by ambient sun exposure or participant charac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80dfcf3a5712e4931de322d9cca31b62
https://doi.org/10.1111/jdv.15680