15 papers · ranked by Valyu relevance
Louise Foley, Dorothea Dumuid, Andrew J. Atkin, Timothy Olds + 1 more
'David Ogilvie'] Background Active travel (walking or cycling for transport) is associated with favourable health outcomes in adults. However, little is known about the concurrent patterns of health behaviour associated with active travel. We used compositional data analysis to explore differences in how people doing…
Samyajoy Pal, Christian Heumann, Sheetal Kalyani
A model-based clustering method for compositional data is explored in this article. Most methods for compositional data analysis require some kind of transformation. The proposed method builds a mixture model using Dirichlet distribution which works with the unit sum constraint. The mixture model uses a hard EM…
Abel Ruiz-Giralt, Stefano Biagetti, Carla Lancelotti, Óscar Parque + 4 more
Anthropic Activity Markers (AAMs) were formalized over 10 years ago as a toolkit to infer human activities from biological and geochemical signatures preserved in sediments. This paper presents AAMs 2.0, a revised analytical framework that integrates compositional data analysis (CoDA) and geostatistics, as the…
Jeseok Lee, Byungwon Kim, Hongchuan Yu
Through the Human Microbiome Project, research on human-associated microbiomes has been conducted in various fields. New sequencing techniques such as Next Generation Sequencing (NGS) and High-Throughput Sequencing (HTS) have enabled the inclusion of a wide range of features of the microbiome. These advancements have…
Viktorie Nesrstová, Ines Wilms, Karel Hron, Peter Filzmoser
Compositional data are characterized by the fact that their elemental information is contained in simple pairwise logratios of the parts that constitute the composition. While pairwise logratios are typically easy to interpret, the number of possible pairs to consider quickly becomes too large even for medium-sized…
Kellyn F Arnold, Laurie Berrie, Peter W G Tennant, Mark S Gilthorpe
Consider three random variables-X, Y and Z-for which X + Y = Z. The relationship among these variables is depicted in the DAG in [dyaa021-F2], which employs the previously introduced notation for deterministic relationships. Although X and Y (the ‘components’) together determine Z (the ‘whole’ or ‘total’), no time flow…
Nikola Štefelová, Jan Dygrýn, Karel Hron, Aleš Gába + 2 more
Although there is an increasing awareness of the suitability of using compositional data methodology in public health research, classical methods of statistical analysis have been primarily used so far. The present study aims to illustrate the potential of robust statistics to model movement behaviour using Czech…
Sakshi Handa, Kristin K. Isaacs, Jonathan T. Wall, Allison Larger + 8 more
'Scott Burns' 'Lauren E. Koval' 'Kenta Baron-Furuyama' 'Colleen M. Elonen' 'David Lyons' 'Kathie L. Dionisio' 'M. Beth Horton' 'Katherine A. Phillips'] Since the initial release of the Chemical and Products Database (CPDat) in 2018, the United States Environmental Protection Agency has added a considerable amount of…
David R Lovell, Xin-Yi Chua, Annette McGrath
Thanks to sequencing technology, modern molecular bioscience datasets are often compositions of counts, e.g. counts of amplicons, mRNAs, etc. While there is growing appreciation that compositional data need special analysis and interpretation, less well understood is the discrete nature of these count compositions (or…
Eric Schulz, Francisco Quiroga, Samuel J. Gershman
How do people perceive and communicate structure? We investigate this question by letting participants play a communication game, where one player describes a pattern, and another player redraws it based on the description alone. We use this paradigm to compare two models of pattern description, one compositional…
Florian Schuberth, Jörg Henseler, Theo K. Dijkstra
This article introduces confirmatory composite analysis (CCA) as a structural equation modeling technique that aims at testing composite models. It facilitates the operationalization and assessment of design concepts, so-called artifacts. CCA entails the same steps as confirmatory factor analysis: model specification…
Stephen A. Allegri, Kevin McCoy, Cassie S. Mitchell
Large networks are quintessential to bioinformatics, knowledge graphs, social network analysis, and graph-based learning. CompositeView is a Python-based open-source application that improves interactive complex network visualization and extraction of actionable insight. CompositeView utilizes specifically formatted…
Xi Yu, Florian Schuberth, Jörg Henseler
Composites, which refer to weighted linear combinations of variables, are receiving increasing attention in the field of ecology. In practice, however, researchers relying on the common approaches to study composites encounter limitations in flexibly specifying composites with structural equation modeling (SEM). To…
Stuart J. Chalk
With the move toward global, Internet enabled science there is an inherent need to capture, store, aggregate and search scientific data across a large corpus of heterogeneous data silos. As a result, standards development is needed to create an infrastructure capable of representing the diverse nature of scientific…
Lea Seep, Paul Jonas Jost, Clivia Lisowski, Hao Huang + 9 more
The generation of vast amounts of bulk-omics data has become a common practice. The data analysis often greatly benefits from collaborative efforts between experimental (data generator) and computational (data analyst) researchers as complementary expertise is needed in bioinformatics practices (). Particularly during…