FARDEEP
Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares
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.
- Version1.0.1
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release04/24/2019
Team
Yuying Xie
Yuning Hao
Show author detailsRolesAuthorMing Yan
Show author detailsRolesAuthorBlake R. Heath
Show author detailsRolesAuthorYu L. Lei
Show author detailsRolesAuthor
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