Revisit linear regression-based deconvolution methods for tumor gene expression data.

For example, it is very easy to create examples where when only one of the two highly similar features is included in a regression model, its coefficient is highly significant and positive; whereas when both are included, none of the coefficients is significant or one is positively significant and the other is negative.

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