QuESTr: Constructing Quantitative Environment Sensor using Transcriptomes

A method for prediction of environmental conditions based on transcriptome data linked with the environmental gradients. This package provides functions to overview gene-environment relationships, to construct the prediction model, and to predict environmental conditions where the transcriptomes were generated. This package can quest for candidate genes for the model construction even in non-model organisms' transcriptomes without any genetic information.

Version:	0.1.1
Depends:	R (≥ 3.5.0)
Imports:	ggplot2, kernlab
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2022-02-15
Author:	Takahiko Koizumi, Kenta Suzuki, Yasunori Ichihashi
Maintainer:	Takahiko Koizumi <takahiko.koizumi at riken.jp>
License:	MIT + file LICENSE
URL:	https://github.com/takakoizumi/QuESTr
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	QuESTr results

Documentation:

Reference manual:	QuESTr.pdf
Vignettes:	QuESTr

Downloads:

Package source:	QuESTr_0.1.1.tar.gz
Windows binaries:	r-devel: QuESTr_0.1.1.zip, r-release: QuESTr_0.1.1.zip, r-oldrel: QuESTr_0.1.1.zip
macOS binaries:	r-release (arm64): QuESTr_0.1.1.tgz, r-oldrel (arm64): QuESTr_0.1.1.tgz, r-release (x86_64): QuESTr_0.1.1.tgz, r-oldrel (x86_64): QuESTr_0.1.1.tgz

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