Create sets of variables based on a mutual
    information approach. In this context, a set is a collection of
    distinct elements (e.g., variables) that can also be treated as a
    single entity.  Mutual information, a concept from probability theory,
    quantifies the dependence between two variables by expressing how much
    information about one variable can be gained from observing the other.
    Furthermore, you can analyze, and visualize
    these sets in order to better understand the relationships among
    variables.

Automatically sets the value of options("width") when the
   terminal emulator is resized. The functions of this package only work if R is compiled for Unix systems and it is running interactively in a terminal emulator.

A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.

A simple, one-command package which runs an interactive dashboard capable of common visualizations for single cell RNA-seq. 'SeuratExplorer' requires a processed 'Seurat' object, which is saved as 'rds' or 'qs2' file.

Defines S4 classes for single-cell genomic data and associated
  information, such as dimensionality reduction embeddings, nearest-neighbor
  graphs, and spatially-resolved coordinates. Provides data access methods and
  R-native hooks to ensure the Seurat object is familiar to other R users. See
  Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>,
  Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>,
  and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>,
  Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and
  Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for
  more details.