ArticleInternational journal of molecular sciences2015
Identification of Molecular Fingerprints in Human Heat Pain Thresholds by Use of an Interactive Mixture Model R Toolbox (AdaptGauss).
Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
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- Robust Classification Using Posterior Probability Threshold Computation Followed by Voronoi Cell Based Class Assignment Circumventing Pitfalls of Bayesian Analysis of Biomedical Data.International journal of molecular sciences · 2022Article
- A Bioinformatics View on Acute Myeloid Leukemia Surface Molecules by Combined Bayesian and ABC Analysis.Bioengineering (Basel, Switzerland) · 2022Article
- Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans).BMC bioinformatics · 2022Article
- Machine-Learning Analysis of Serum Proteomics in Neuropathic Pain after Nerve Injury in Breast Cancer Surgery Points at Chemokine Signaling via SIRT2 Regulation.International journal of molecular sciences · 2022Article
- Visually guided preprocessing of bioanalytical laboratory data using an interactive R notebook (pguIMP).CPT: pharmacometrics & systems pharmacology · 2021Article
- Distance-based clustering challenges for unbiased benchmarking studies.Scientific reports · 2021Article
- Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling).PloS one · 2021Article
- Analyzing the fine structure of distributions.PloS one · 2020Article
- A non-parametric effect-size measure capturing changes in central tendency and data distribution shape.PloS one · 2020Article
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- Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.Scientific reports · 2018Article
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- Data visualizations to detect systematic errors in laboratory assay results.Pharmacology research & perspectives · 2017Article
- Sex differences in thermal detection and thermal pain threshold and the thermal grill illusion: a psychophysical study in young volunteers.Biology of sex differences · 2017Article
- A Data-Driven Approach to Responder Subgroup Identification after Paired Continuous Theta Burst Stimulation.Frontiers in human neuroscience · 2017Article
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4 authors.
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Abstract
Biomedical data obtained during cell experiments, laboratory animal research, or human studies often display a complex distribution. Statistical identification of subgroups in research data poses an analytical challenge. Here were introduce an interactive R-based bioinformatics tool, called "AdaptGauss". It enables a valid identification of a biologically-meaningful multimodal structure in the data by fitting a Gaussian mixture model (GMM) to the data. The interface allows a supervised selection of the number of subgroups. This enables the expectation maximization (EM) algorithm to adapt more complex GMM than usually observed with a noninteractive approach. Interactively fitting a GMM to heat pain threshold data acquired from human volunteers revealed a distribution pattern with four Gaussian modes located at temperatures of 32.3, 37.2, 41.4, and 45.4 °C. Noninteractive fitting was unable to identify a meaningful data structure. Obtained results are compatible with known activity temperatures of different TRP ion channels suggesting the mechanistic contribution of different heat sensors to the perception of thermal pain. Thus, sophisticated analysis of the modal structure of biomedical data provides a basis for the mechanistic interpretation of the observations. As it may reflect the involvement of different TRP thermosensory ion channels, the analysis provides a starting point for hypothesis-driven laboratory experiments.
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