Capítulo de Libro
Reverse-engineering biological networks from large data sets
Título del libro: Quantitative Biology: Theory, Computational Methods, and Models
Fecha de publicación:
2018
Editorial:
MIT Press
ISBN:
9780262038089
Idioma:
Inglés
Clasificación temática:
Resumen
Much of contemporary systems biology owes its success to the abstraction of a network, the idea that diverse kinds of molecular, cellular, and organismal species and interactions can be modeled as relational nodes and edges in a graph of dependencies. Since the advent of high-throughput data-acquisition technologies in fields such as genomics, metabolomics, and neuroscience, the automated inference and reconstruction of such interaction networks directly from large sets of activation data, commonly known as reverse-engineering, has become a routine procedure. Whereas early attempts at network reverse-engineering focused predominantly on producing maps of system architectures with minimal predictive modeling, reconstructions now play instrumental roles in answering questions about the statistics and dynamics of the underlying systems they represent. Many of these predictions have clinical relevance, suggesting novel paradigms for drug discovery and disease treatment. While other reviews focus predominantly on the details and effectiveness of individual network inference algorithms, here we examine the emerging field as a whole. We first summarize several key application areas in which inferred networks have made successful predictions. We then outline the two major classes of reverse-engineering methodologies, emphasizing that the type of prediction that one aims to make dictates the algorithms one should employ. We conclude by discussing whether recent breakthroughs justify the computational costs of large-scale reverse-engineering sufficiently to admit it as a mainstay in the quantitative analysis of living systems.
Palabras clave:
BIOLOGICAL
,
NETWORKS
,
INFERENCE
,
DATA
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Capítulos de libros(CCT - PATAGONIA NORTE)
Capítulos de libros de CTRO.CIENTIFICO TECNOL.CONICET - PATAGONIA NORTE
Capítulos de libros de CTRO.CIENTIFICO TECNOL.CONICET - PATAGONIA NORTE
Citación
Natale, Joseph J.; Hofmann, David; Hernández Lahme, Damián Gabriel; Nemenman, Ilya; Reverse-engineering biological networks from large data sets; MIT Press; 2018; 213-246
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