Reconstructing cancer drug response networks using multitask learning.

Background: Translating in vitro results to clinical tests is a major challenge in systems biology. Here we present a new Multi-Task learning framework which integrates thousands of cell line expression experiments to reconstruct drug specific response networks in cancer.

Results: The reconstructed networks correctly identify several shared key proteins and pathways while simultaneously highlighting many cell type specific proteins.