ArticleBMC research notes2015
EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression.
Article in BMC research notes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Assessment of dispersion metrics for estimating single-cell transcriptional variability.PLoS computational biology · 2026Article
- Granulosa cell transcription is similarly impacted by superovulation and aging and predicts early embryonic trajectories.Nature communications · 2025Article
- A Comparative Study of Gene Co-Expression Thresholding Algorithms.Journal of computational biology : a journal of computational molecular cell biology · 2024Article
- Brain structural covariances in the ageing brain in the UK Biobank.Brain structure & function · 2024Article
- Quantifying transcriptome diversity: a review.Briefings in functional genomics · 2024Review
- DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and immunotherapy response.Nature communications · 2022Article
- Diagnostic performance of classification trees and hematological functions in hematologic disorders: an application of multidimensional scaling and cluster analysis.BMC medical informatics and decision making · 2021Article
- Molecular Subtyping and Outlier Detection in Human Disease Using the Paraclique Algorithm.Algorithms · 2021Article
- epihet for intra-tumoral epigenetic heterogeneity analysis and visualization.Scientific reports · 2021Article
- Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis ofComputational and mathematical methods in medicine · 2021Article
- Somatic Mutations Drive Specific, but Reversible, Epigenetic Heterogeneity States in AML.Cancer discovery · 2020Article
- Artificial Intelligence-Driven Structurization of Diagnostic Information in Free-Text Pathology Reports.Journal of pathology informatics · 2020Article
- Drugs modulating stochastic gene expression affect the erythroid differentiation process.PloS one · 2019Article
- Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination.PLoS neglected tropical diseases · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundDifferential Shannon entropy (DSE) and differential coefficient of variation (DCV) are effective metrics for the study of gene expression data. They can serve to augment differential expression (DE), and be applied in numerous settings whenever one seeks to measure differences in variability rather than mere differences in magnitude. A general purpose, easily accessible tool for DSE and DCV would help make these two metrics available to data scientists. Automated p value computations would additionally be useful, and are often easier to interpret than raw test statistic values alone.
resultsEntropyExplorer is an R package for calculating DSE, DCV and DE. It also computes corresponding p values for each metric. All features are available through a single R function call. Based on extensive investigations in the literature, the Fligner-Killeen test was chosen to compute DCV p values. No standard method was found to be appropriate for DSE, and so permutation testing is used to calculate DSE p values.
conclusionsEntropyExplorer provides a convenient resource for calculating DSE, DCV, DE and associated p values. The package, along with its source code and reference manual, are freely available from the CRAN public repository at http://cran.r-project.org/web/packages/EntropyExplorer/index.html.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.