Machine learning and deep learning applications in microbiome research
R Hernández Medina, S Kutuzova… - ISME …, 2022 - academic.oup.com
The many microbial communities around us form interactive and dynamic ecosystems called
microbiomes. Though concealed from the naked eye, microbiomes govern and influence …
microbiomes. Though concealed from the naked eye, microbiomes govern and influence …
Understanding sequencing data as compositions: an outlook and review
TP Quinn, I Erb, MF Richardson, TM Crowley - Bioinformatics, 2018 - academic.oup.com
Motivation Although seldom acknowledged explicitly, count data generated by sequencing
platforms exist as compositions for which the abundance of each component (eg gene or …
platforms exist as compositions for which the abundance of each component (eg gene or …
Compositional data analysis for physical activity, sedentary time and sleep research
D Dumuid, TE Stanford… - … methods in medical …, 2018 - journals.sagepub.com
The health effects of daily activity behaviours (physical activity, sedentary time and sleep)
are widely studied. While previous research has largely examined activity behaviours in …
are widely studied. While previous research has largely examined activity behaviours in …
Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: definitions, concepts, statistical methods …
INTEGRATING SLEEP, SEDENTARY BEHAVIOUR, AND PHYSICAL ACTIVITY
RESEARCH IN THE EMERGING FIELD OF TIME-USE EPIDEMIOLOGY: DEFINITIO Page 1 …
RESEARCH IN THE EMERGING FIELD OF TIME-USE EPIDEMIOLOGY: DEFINITIO Page 1 …
A field guide for the compositional analysis of any-omics data
Background Next-generation sequencing (NGS) has made it possible to determine the
sequence and relative abundance of all nucleotides in a biological or environmental …
sequence and relative abundance of all nucleotides in a biological or environmental …
Compositional data analysis in time-use epidemiology: what, why, how
In recent years, the focus of activity behavior research has shifted away from univariate
paradigms (eg, physical activity, sedentary behavior and sleep) to a 24-h time-use paradigm …
paradigms (eg, physical activity, sedentary behavior and sleep) to a 24-h time-use paradigm …
It's all relative: analyzing microbiome data as compositions
Purpose The ability to properly analyze and interpret large microbiome data sets has lagged
behind our ability to acquire such data sets from environmental or clinical samples …
behind our ability to acquire such data sets from environmental or clinical samples …
Unravelling the predictive power of telematics data in car insurance pricing
R Verbelen, K Antonio… - Journal of the Royal …, 2018 - academic.oup.com
A data set from a Belgian telematics product aimed at young drivers is used to identify how
car insurance premiums can be designed based on the telematics data collected by a black …
car insurance premiums can be designed based on the telematics data collected by a black …
[HTML][HTML] Compositional data: the sample space and its structure
JJ Egozcue, V Pawlowsky-Glahn - Test, 2019 - Springer
The log-ratio approach to compositional data (CoDa) analysis has now entered a mature
phase. The principles and statistical tools introduced by J. Aitchison in the eighties have …
phase. The principles and statistical tools introduced by J. Aitchison in the eighties have …
Adiposity and the isotemporal substitution of physical activity, sedentary time and sleep among school-aged children: a compositional data analysis approach
Background Daily activity data are by nature compositional data. Accordingly, they occupy a
specific geometry with unique properties that is different to standard Euclidean geometry …
specific geometry with unique properties that is different to standard Euclidean geometry …