mistyR
This is the released version of mistyR; for the devel version, see mistyR.
All Bioconductor versions of mistyR
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13
Multiview Intercellular SpaTial modeling framework
Bioconductor version: 3.23 · Package version: 1.20.0
mistyR is an implementation of the Multiview Intercellular SpaTialmodeling framework (MISTy). MISTy is an explainable machine learning framework for knowledge extraction and analysis of single-cell, highly multiplexed, spatially resolved data. MISTy facilitates an in-depth understanding of marker interactions by profiling the intra- and intercellular relationships. MISTy is a flexible framework able to process a custom number of views. Each of these views can describe a different spatial context, i.e., define a relationship among the observed expressions of the markers, such as intracellular regulation or paracrine regulation, but also, the views can also capture cell-type specific relationships, capture relations between functional footprints or focus on relations between different anatomical regions. Each MISTy view is considered as a potential source of variability in the measured marker expressions. Each MISTy view is then analyzed for its contribution to the total expression of each marker and is explained in terms of the interactions with other measurements that led to the observed contribution.
Author: Jovan Tanevski [cre, aut] 
, Ricardo Omar Ramirez Flores [ctb] , Philipp Schäfer [ctb]
Maintainer: Jovan Tanevski <jovan.tanevski at uni-heidelberg.de>
Citation
From within R, enter citation("mistyR"):
Jovan Tanevski. mistyR: Multiview Intercellular SpaTial modeling framework. doi:10.18129/B9.bioc.mistyR, R package version 1.20.0, https://bioconductor.org/packages/mistyR.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("mistyR")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.20.0 |
| License | GPL-3 |
| URL | https://saezlab.github.io/mistyR/ |
| Bug Reports | https://github.com/saezlab/mistyR/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.13 (R-4.1) (5 years) |
| Downloads rank | 1461 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | BiomedicalInformatics, CellBiology, DecisionTree, Regression, SingleCell, Software, Spatial, SystemsBiology |
| Package Short Url | https://bioconductor.org/packages/mistyR/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mistyR")| Modeling spatially resolved omics with mistyR | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | mistyR_1.20.0.tar.gz |
| Windows binary (x86_64) | mistyR_1.20.0.zip |
| macOS binary (x86_64) | mistyR_1.20.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/mistyR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/mistyR |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.0)
Imports: assertthat, caret, deldir, digest, distances, dplyr (>= 1.1.0), filelock, furrr (>= 0.2.0), ggplot2, methods, purrr, ranger, readr (>= 2.0.0), ridge, rlang, rlist, R.utils, stats, stringr, tibble, tidyr, tidyselect (>= 1.2.0), utils, withr
Suggests: BiocStyle, covr, earth, future, igraph (>= 1.2.7), iml, kernlab, knitr, MASS, rmarkdown, RSNNS, testthat (>= 3.0.0), xgboost