Single linkage clustering and connected component analyses are often performed on biological images. 'Bioi' provides a set of functions for performing these tasks. This functionality is implemented in several key functions that can extend to from 1 to many dimensions. The single linkage clustering method implemented here can be used on n-dimensional data sets, while connected component analyses are limited to 3 or fewer dimensions.

Tools for 3D imaging, mostly for biology/microscopy. 
    Read and write TIFF stacks. Functions for segmentation, filtering and analyzing 3D point patterns.

Functions for modelling microbial inactivation under
    isothermal or dynamic conditions. The calculations are based on several mathematical models broadly
    used by the scientific community and industry. Functions enable to make predictions for cases where the
    kinetic parameters are known. It also implements functions for parameter estimation for isothermal and
    dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian
    approach to parameter estimation.

Imports benthic count data, reformats this data, and
        computes environmental inferences from this data.

Analyze and plot the abundance of different RNA biotypes present in a count matrix, this evaluation can be useful if you want to test different strategies of normalization or analyze a particular biotype in a differential gene expression analysis.

Prevents and detects information leakage in biomedical machine learning.
  Provides leakage-resistant split policies (subject-grouped, batch-blocked, study leave-out, time-ordered),
  guarded preprocessing (train-only imputation, normalization, filtering, feature selection),
  cross-validated fitting with common learners, permutation-gap auditing, batch and fold association tests,
  and duplicate detection.

Generate urls and hyperlinks to commonly used biological databases
    and resources based on standard identifiers. This is primarily useful when
    writing dynamic reports that reference things like gene symbols in text or
    tables, allowing you to, for example, convert gene identifiers to hyperlinks
    pointing to their entry in the 'NCBI' Gene database. Currently supports
    'NCBI' Gene, 'PubMed', Gene Ontology, 'KEGG', CRAN and Bioconductor.