Integrating knowledge and omics to decipher mechanisms via large‐scale models of signaling networks-Reference-Cited by-同舟云学术

Integrating knowledge and omics to decipher mechanisms via large‐scale models of signaling networks

Published:2022-07 Issue:7 Volume:18 Page:
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Molecular Systems Biology

Author:

Garrido‐Rodriguez Martin¹^ORCID,Zirngibl Katharina¹^ORCID,Ivanova Olga¹^ORCID,Lobentanzer Sebastian¹^ORCID,Saez‐Rodriguez Julio¹^ORCID

Affiliation:

1. Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital Institute for Computational Biomedicine, Bioquant Heidelberg Germany

Funder

GlaxoSmithKline

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15252/msb.202211036

Reference87 articles.

1. Logical Modeling and Dynamical Analysis of Cellular Networks

2. Mass-spectrometric exploration of proteome structure and function

3. Biological Consequences of Priming Phosphorylation in Cancer Development

4. Causal interactions from proteomic profiles: Molecular data meet pathway knowledge

5. A survey of gene regulatory networks modelling methods: from differential equations, to Boolean and qualitative bioinspired models

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