Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares
Using the basic idea of least trimmed square to detect and remove outl...
Using the idea of least trimmed square to detect and remove outliers b...
Generate random sample with different proportion of outliers and lever...
Tuning parameter k in function alts using Bayesian Information Criteri...
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>.