Extensible framework for
    subgroup discovery (Atzmueller (2015) <doi:10.1002/widm.1144>),
    contrast patterns (Chen (2022) <doi:10.48550/arXiv.2209.13556>),
    emerging patterns (Dong (1999) <doi:10.1145/312129.312191>) and
    association rules (Agrawal (1994) <https://www.vldb.org/conf/1994/P487.PDF>).
    Both crisp (binary) and fuzzy data are supported.
    It generates conditions in the form of elementary conjunctions, evaluates
    them on a dataset and checks the induced sub-data for interesting statistical
    properties. Currently, the package searches for implicative association rules
    and conditional correlations (Hájek (1978) <doi:10.1007/978-3-642-66943-9>).
    A user-defined function may be defined to evaluate on each generated
    condition to search for custom patterns.

Tools for visual inference. Generate null data sets
    and null plots using permutation and simulation. Calculate distance metrics
    for a lineup, and examine the distributions of metrics.

A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.

Converts written out numbers into their equivalent numbers.
    Supports numbers written out in English, French, or Spanish.