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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.1 rolling linux/jammy R-4.5 FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 rolling linux/noble R-4.5 FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 rolling source/ R- FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 latest linux/jammy R-4.5 FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 latest linux/noble R-4.5 FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 latest source/ R- FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 2026-04-26 source/ R- FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 2026-04-23 source/ R- FARDEEP_1.0.1.tar.gz 2.1 MiB
1.0.1 2025-04-20 source/ R- FARDEEP_1.0.1.tar.gz 2.1 MiB

Dependencies (latest)

Imports