Contains tools for supervised analyses of incomplete, overlapping
  multiomics datasets. Applies partial least squares in multiple steps to find
  models that predict survival outcomes. See Yamaguchi et al. (2023)
  <doi:10.1101/2023.03.10.532096>.

Aims at detecting single nucleotide variation
    (SNV) and insertion/deletion (INDEL) in circulating tumor DNA (ctDNA), used
    as a surrogate marker for tumor, at each base position of an Next Generation
    Sequencing (NGS) analysis. Mutations are assessed by comparing the minor-allele
    frequency at each position to the measured PER in control samples.

Contains functions developed to combine the results of querying a plasmid database using
    short-read sequence typing with the results of a blast analysis against the query results.

Provides tools for cross-validated Lasso and Post-Lasso estimation.
  Built on top of the 'glmnet' package by Friedman, Hastie and Tibshirani (2010) <doi:10.18637/jss.v033.i01>,
  the main function plasso() extends the standard 'glmnet' output with coefficient paths
  for Post-Lasso models, while cv.plasso() performs cross-validation for both Lasso
  and Post-Lasso models and different ways to select the penalty parameter lambda as discussed in Knaus (2021) <doi:10.1111/rssa.12623>.

Tools for interacting with data from experiments done in microtiter
    plates. Easily read in plate-shaped data and convert it to tidy format, 
    combine plate-shaped data with tidy data, and view tidy data in plate shape.

Collection of functions for working with multi-well microtitre
    plates, mainly 96, 384 and 1536 well plates.

Directly pipes raw quantitative PCR (qPCR) machine outputs into downstream 
    analyses using the comparative Ct (Delta-Delta Ct) method described by Livak and 
    Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Streamlines the workflow from 'Excel' 
    export to publication-ready plots. Integrates unique visual quality control by 
    reconstructing 96-well plate heatmaps, allowing users to instantly detect pipetting 
    errors, edge effects, and outliers. Key features include automated error propagation, 
    laboratory master mix calculations, and generation of bar charts and volcano plots.