Multitask learning for host-pathogen protein interactions.

ABSTRACT:

Motivation

An important aspect of infectious disease research involves understanding the differences and commonalities in the infection mechanisms underlying various diseases. Systems biology-based approaches study infectious diseases by analyzing the interactions between the host species and the pathogen organisms. This work aims to combine the knowledge from experimental studies of host-pathogen interactions in several diseases to build stronger predictive models. Our approach is based on a formalism from machine learning called 'multitask learning', which considers the problem of building models across tasks that are related to each other. A 'task' in our scenario is the set of host-pathogen protein interactions involved in one disease. To integrate interactions from several tas

SUBMITTER: Kshirsagar M 

PROVIDER: S-EPMC3694681 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature