Package: FARDEEP
Title: Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte
        from Expression Profiles using Least Trimmed Squares
Version: 1.0.1
Authors@R: c(
           person("Yuning", "Hao",  role = c("aut")),
           person("Ming", "Yan",  role = c("aut")), 
           person("Blake R.", "Heath",  role = c("aut")),
           person("Yu L.", "Lei",  role = c("aut")),
           person("Yuying", "Xie", email = "xyy@egr.msu.edu", 
           role = c("aut","cre")))
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) <doi:10.1101/358366>.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Imports: nnls(>= 1.4), stats, preprocessCore
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-18 06:51:24 UTC; yuning
Author: Yuning Hao [aut],
  Ming Yan [aut],
  Blake R. Heath [aut],
  Yu L. Lei [aut],
  Yuying Xie [aut, cre]
Maintainer: Yuying Xie <xyy@egr.msu.edu>
Repository: CRAN
Date/Publication: 2019-04-24 15:10:03 UTC
Built: R 3.5.2; ; 2019-04-25 05:33:06 UTC; unix
