Timecourse of doxycycline induction in bitransgenic MTB/TAN, MTB/TOM, and MTB/TWNT1 mice or monotransgenic MTB control mice

ABSTRACT: Genome-wide expression data can provide important insights into normal and pathological cellular processes. However, the ability to use gene expression data to quantitatively assess the activation state of a given signaling pathway or transcriptional network in a sensitive and specific manner remains an important unmet goal. We now describe a computational algorithm, energy-paired scoring (EPS), that satisfies these criteria by predicting pathway activity using gene-gene interactions within a pathway signature in a manner analogous to the estimation of energy generated by two charged particles, as described by Coulomb’s law. We demonstrate the ability of EPS to: quantitatively assess pathway activation levels in vivo and in vitro; accurately estimate the extent of pathway inhibition ach

ORGANISM(S): Mus musculus

SUBMITTER: Dhruv Pant 

PROVIDER: E-GEOD-50969 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress