Modeling in systems biology: Causal understanding before prediction?

Babur et al. (2021) developed the CausalPath tool to infer causal signaling interactions in high-throughput proteomics data that may foster mechanical understanding from large-scale biological datasets.

Detalles Bibliográficos
Autores principales: Barsi, Szilvia, Szalai, Bence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8212131/
https://www.ncbi.nlm.nih.gov/pubmed/34179849
http://dx.doi.org/10.1016/j.patter.2021.100280
Descripción
Sumario:Babur et al. (2021) developed the CausalPath tool to infer causal signaling interactions in high-throughput proteomics data that may foster mechanical understanding from large-scale biological datasets.

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