New Results
From word models to executable models of signaling networks using automated assembly
View ORCID ProfileBenjamin M Gyori, View ORCID ProfileJohn A Bachman, View ORCID ProfileKartik Subramanian, View ORCID ProfileJeremy L Muhlich, Lucian Galescu, View ORCID ProfilePeter K Sorger
doi: https://doi.org/10.1101/119834
Benjamin M Gyori
1Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
John A Bachman
1Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
Kartik Subramanian
1Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
Jeremy L Muhlich
1Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA
Lucian Galescu
2Institute for Human and Machine Cognition, Pensacola, USA
Peter K Sorger
1Laboratory of Systems Pharmacology, Harvard Medical School, Boston, USA

Article usage
Posted March 24, 2017.
From word models to executable models of signaling networks using automated assembly
Benjamin M Gyori, John A Bachman, Kartik Subramanian, Jeremy L Muhlich, Lucian Galescu, Peter K Sorger
bioRxiv 119834; doi: https://doi.org/10.1101/119834
Subject Area
Subject Areas
- Biochemistry
- Biochemistry (14152)
- Bioengineering (10820)
- Bioinformatics (34299)
- Biophysics (17643)
- Cancer Biology (14745)
- Cell Biology (20767)
- Clinical Trials (138)
- Developmental Biology (11174)
- Ecology (16496)
- Epidemiology (2067)
- Evolutionary Biology (20807)
- Genetics (13669)
- Genomics (19086)
- Immunology (14235)
- Microbiology (33112)
- Molecular Biology (13819)
- Neuroscience (72361)
- Paleontology (542)
- Pathology (2278)
- Pharmacology and Toxicology (3858)
- Physiology (6100)
- Plant Biology (12387)
- Synthetic Biology (3455)
- Systems Biology (8369)
- Zoology (1913)