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QuESTr  

Constructing Quantitative Environment Sensor using Transcriptomes
View on CRAN: Click here


Download and install QuESTr package within the R console
Install from CRAN:
install.packages("QuESTr")

Install from Github:
library("remotes")
install_github("cran/QuESTr")

Install by package version:
library("remotes")
install_version("QuESTr", "0.1.1")



Attach the package and use:
library("QuESTr")
Maintained by
Takahiko Koizumi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-15
Latest Update: 2022-02-15
Description:
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.
How to cite:
Takahiko Koizumi (2022). QuESTr: Constructing Quantitative Environment Sensor using Transcriptomes. R package version 0.1.1, https://cran.r-project.org/web/packages/QuESTr. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited QuESTr R package
View QuESTr citation profile
Other R packages that QuESTr depends, imports, suggests or enhances
Complete documentation for QuESTr
Functions, R codes and Examples using the QuESTr R package
Some associated functions: Pinus . q.clean . q.opt . q.pca . q.rank . q.sort . quest . 
Some associated R codes: q.clean.R . q.opt.R . q.pca.R . q.rank.R . q.sort.R . quest.R .  Full QuESTr package functions and examples
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