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FARDEEP
View on CRAN: Click
here
Download and install FARDEEP package within the R console
Install from CRAN:
install.packages("FARDEEP")
Install from Github:
library("remotes")
install_github("cran/FARDEEP")
Install by package version:
library("remotes")
install_version("FARDEEP", "1.0.1")
Attach the package and use:
library("FARDEEP")
Maintained by
Yuying Xie
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-24
Latest Update: 2019-04-24
Description:
Using the idea of least trimmed square, it could automatically detects and removes outliers from data before estimating the coefficients. It is a robust machine learning tool which can be applied to gene-expression deconvolution technique. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei and Yuying Xie (2019) .
How to cite:
Yuying Xie (2019). FARDEEP: Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares. R package version 1.0.1, https://cran.r-project.org/web/packages/FARDEEP. Accessed 07 May. 2025.
Previous versions and publish date:
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Complete documentation for FARDEEP
Functions, R codes and Examples using
the FARDEEP R package
Some associated functions: LM22 . alts . fardeep . mixture . sample.sim . tuningBIC .
Some associated R codes: alts.R . data.R . fardeep.R . sample.sim.R . tuningBIC.R . Full FARDEEP package functions and examples
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