Program:

We have developed and applied the pLasso method to incorporate prior knowledge for the reconstruction of gene networks.

• The source code in MATLAB can be download here .

Results:

The pLasso method has been applied to two microarray gene expression datasets. The estimated partial correlation coefficient matrix for the genes in each corresponding dataset can be found here.

• Breast Cancer Dataset (Wang et al., 2005)
• Ovarian Cancer Dataset (TCGA, 2012)

Supplementary Materials:

Supplementary results on: 1) the performance of pLasso with prior information provided at different precision levels; 2) comparison between cross-validation and BIC; 3) comparison among different priors can be found here.

• Supplementary Tables