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DESCRIPTION
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DESCRIPTION
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Package: mistyR
Type: Package
Title: Multiview Intercellular SpaTial modeling framework
Version: 1.10.0
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: 7.3.1
Config/testthat/edition: 3