Provides lightweight helpers for adding gene and chemical
    tooltips to R Markdown, Quarto, Shiny, pkgdown, and other HTML outputs.
    The package emits small HTML spans with module-specific data attributes
    and attaches the browser-side 'bio-tooltips' JavaScript and CSS assets
    through 'htmltools'. Entity lookup and rendering are handled in the
    browser by 'bio-tooltips'; this package does not query biological
    databases from R during package checks.

Tools to process the information obtained from experiments conducted in the Barnes Maze. These tools enable the detection of trajectories generated by subjects during trials, as well as the acquisition of precise coordinates and relevant statistical data regarding the results. Through this approach, it aims to facilitate the analysis and interpretation of observed behaviors, thereby contributing to a deeper understanding of learning and memory processes in such experiments.

Provides tools for the analysis and visualization of gene
    expression data from the NCBI Gene Expression Omnibus (GEO). Implements
    a complete workflow including data import, quality control, differential
    expression analysis, co-expression network analysis, pathway enrichment,
    and multi-gene biomarker discovery. Differential expression uses the
    empirical Bayes moderated t-statistic of Smyth (2004)
    <doi:10.2202/1544-6115.1027>. Gene set enrichment analysis follows
    Subramanian et al. (2005) <doi:10.1073/pnas.0506580102>. Multi-gene
    biomarker selection uses the LASSO method of Tibshirani (1996)
    <doi:10.1111/j.2517-6161.1996.tb02080.x>. Effect sizes are computed
    as Cohen's d following Cohen (1988).

Creates an area-proportional Venn diagram of 2 or 3 circles. 'BioVenn' is the only R package that can automatically generate an accurate area-proportional Venn diagram by having only lists of (biological) identifiers as input. Also offers the option to map Entrez and/or Affymetrix IDs to Ensembl IDs. In SVG mode, text and numbers can be dragged and dropped. Based on the BioVenn web interface available at <https://www.biovenn.nl>. Hulsen (2021) <doi:10.3233/DS-210032>.