Package: mistyR
Type: Package
Title: Multiview Intercellular SpaTial modeling framework
Version: 1.19.0
Authors@R: c(
    person(given = "Jovan",
           family = "Tanevski",
           role = c("cre", "aut"),
           email = "jovan.tanevski@uni-heidelberg.de",
           comment = c(ORCID = "0000-0001-7177-1003")),
    person(given = "Ricardo Omar",
           family = "Ramirez Flores",
           role = "ctb",
           comment = c(ORCID = "0000-0003-0087-371X")),
    person(given = "Philipp",
           family = "Schäfer",
           role = "ctb"))
Description: 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.
URL: https://saezlab.github.io/mistyR/
BugReports: https://github.com/saezlab/mistyR/issues
biocViews: Software, BiomedicalInformatics, CellBiology,
        SystemsBiology, Regression, DecisionTree, SingleCell, Spatial
Depends: R (>= 4.0)
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
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
RoxygenNote: 7.2.3
Config/testthat/edition: 3
Config/pak/sysreqs: libgsl0-dev libicu-dev libxml2-dev libx11-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-01-12 12:46:16 UTC
RemoteUrl: https://github.com/bioc/mistyR
RemoteRef: HEAD
RemoteSha: f1bc6d2dfbd7f654a94155e8f09902f4becc2a5d
NeedsCompilation: no
Packaged: 2026-03-14 09:07:02 UTC; root
Author: Jovan Tanevski [cre, aut] (ORCID:
    <https://orcid.org/0000-0001-7177-1003>),
  Ricardo Omar Ramirez Flores [ctb] (ORCID:
    <https://orcid.org/0000-0003-0087-371X>),
  Philipp Schäfer [ctb]
Maintainer: Jovan Tanevski <jovan.tanevski@uni-heidelberg.de>
Built: R 4.6.0; ; 2026-03-14 09:08:51 UTC; windows
