RT Journal Article
T1 A comparison of mechanistic signaling pathway activity analysis methods.
A1 Amadoz, Alicia
A1 Hidalgo, Marta R
A1 Çubuk, Cankut
A1 Carbonell-Caballero, José
A1 Dopazo, Joaquín
K1 disease mechanism
K1 mathematical models
K1 networks
K1 signaling pathways
K1 systems biology
K1 transcriptomics
AB Understanding the aspects of cell functionality that account for disease mechanisms or drug modes of action is a main challenge for precision medicine. Classical gene-based approaches ignore the modular nature of most human traits, whereas conventional pathway enrichment approaches produce only illustrative results of limited practical utility. Recently, a family of new methods has emerged that change the focus from the whole pathways to the definition of elementary subpathways within them that have any mechanistic significance and to the study of their activities. Thus, mechanistic pathway activity (MPA) methods constitute a new paradigm that allows recoding poorly informative genomic measurements into cell activity quantitative values and relate them to phenotypes. Here we provide a review on the MPA methods available and explain their contribution to systems medicine approaches for addressing challenges in the diagnostic and treatment of complex diseases.
YR 2019
FD 2019
LK http://hdl.handle.net/10668/12548
UL http://hdl.handle.net/10668/12548
LA en
DS RISalud
RD Apr 15, 2025