ArticlePlant signaling & behavior2011
To transform or not to transform: that is the dilemma in the statistical analysis of plant volatiles.
Article in Plant signaling & behavior, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Association between maternal interpregnancy interval after live birth or pregnancy termination and birth weight: a quantile regression analysis.Scientific reports · 2018Trial
- Non-Invasive Sampling of Odours from Tiger (Panthera tigris) and Leopard (Panthera pardus) for Wildlife Conservation.Journal of chemical ecology · 2026Article
- Urine washing and urinary odour profiles in relation to dominance rank status in wild male capuchin monkeys (Royal Society open science · 2025Article
- Review and revamp of compositional data transformation: A new framework combining proportion conversion and contrast transformation.Computational and structural biotechnology journal · 2024Review
- Stress-Induced Volatile Emissions and Signalling in Inter-Plant Communication.Plants (Basel, Switzerland) · 2022Review
- Super-taxon in human microbiome are identified to be associated with colorectal cancer.BMC bioinformatics · 2022Article
- The Scent of Life: Phoretic Nematodes Use Wasp Volatiles and Carbon Dioxide to Choose Functional Vehicles for Dispersal.Journal of chemical ecology · 2021Article
- Fruit volatilome profiling through GC × GC-ToF-MS and gene expression analyses reveal differences amongst peach cultivars in their response to cold storage.Scientific reports · 2020Article
- Diversity and function of terpene synthases in the production of carrot aroma and flavor compounds.Scientific reports · 2020Article
- A multivariate distance-based analytic framework for microbial interdependence association test in longitudinal study.Genetic epidemiology · 2017Article
- Age-related environmental gradients influence invertebrate distribution in the Prince Charles Mountains, East Antarctica.Royal Society open science · 2016Article
- Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution.BMC bioinformatics · 2013Article
- Diel variation in fig volatiles across syconium development: making sense of scents.Journal of chemical ecology · 2013Article
- Phylogeny-based comparative analysis of venom proteome variation in a clade of rattlesnakes (Sistrurus sp.).PloS one · 2013Article
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2 authors.
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Abstract
Chemical ecology, be it the study of plant volatiles or insect cuticular hydrocarbons, largely involves the analysis of compositions or "blends" of a mixture of compounds. Compositional data have intrinsic properties such as a "constant-sum constraint" which should be taken into account when statistically analysing these data. The field of compositional data analysis has greatly improved our understanding of the nature of such compositions and has provided us with insights on statistically rigorous ways of analysing such constrained data. Employment of standard multivariate statistical procedures on compositional data necessitates the use of appropriate transformation procedures, which removes the non-independence of data points, thus rendering the data suitable for such analysis. Here we present the current situation of the analysis of compositional data in chemical ecology; the awareness of this constraint of compositional data; and alternative ways of analysing such constrained data using Random Forests, a data-mining algorithm which has many features that facilitate the analysis of such data. Two such features of particular relevance to compositional data are that Random Forests does not incorporate implicit assumptions about the distribution of the data and can deal with auto-correlations between data points.
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