Anatoly Yambartsev

The paper introduces the C-SHIFT normalization method to recover the covariance matrix from gene expression data by minimizing noise and improving accuracy over existing techniques.

The paper provides a guide on using network analysis to transform omics data into biological knowledge, including software tools for network reconstruction and interrogation.

The paper introduces a statistical method to estimate and remove erroneous edges in gene regulatory networks, showing improved precision over FDR in large networks.