RACER – Regression Analysis of Combinatorial Expression Regulation

RACER

:: DESCRIPTION

RACER fits the mRNA expression as response using as explanatory variables the TF binding signals (TFBS) from ENCODE, CNV, DM, miRNA expression signals from TCGA. Briefly, RACER infers the sample-specific TF/miRNA regulator activities, which are then used as inputs to infer specific TF/miRNA-gene interactions. The two-stage regression circumvents the problem with integrating the non-sample-specific ENCODE TFBS with the sample-specific TCGA measurements.

::DEVELOPER

Yue Li ,The Zhang Lab, University of Toronto

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux
  • R

:: DOWNLOAD

 RACER

:: MORE INFORMATION

Citation:

Li Y, Liang M, Zhang Z (2014)
Regression Analysis of Combined Gene Expression Regulation in Acute Myeloid Leukemia.
PLoS Comput Biol 10(10): e1003908. doi:10.1371/journal.pcbi.1003908