Data driven linear algebraic methods for analysis of molecular pathways: application to disease progression in shock/trauma.

ABSTRACT:

Motivation

Although trauma is the leading cause of death for those below 45years of age, there is a dearth of information about the temporal behavior of the underlying biological mechanisms in those who survive the initial trauma only to later suffer from syndromes such as multiple organ failure. Levels of serum cytokines potentially affect the clinical outcomes of trauma; understanding how cytokine levels modulate intra-cellular signaling pathways can yield insights into molecular mechanisms of disease progression and help to identify targeted therapies. However, developing such analyses is challenging since it necessitates the integration and interpretation of large amounts of heterogeneous, quantitative and qualitative data. Here we present the Pathway Semantics Algorithm (PSA),

SUBMITTER: McGuire MF 

PROVIDER: S-EPMC3346262 | biostudies-literature | 2012 Apr

REPOSITORIES: biostudies-literature