CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.
- Published in:
- BMC Systems Biology, 2012, v. 6, n. 1, p. 1, doi. 10.1186/1752-0509-6-133
- By:
- Publication type:
- Article
Works by Morris, Melody K.
Results: 5
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2
Training Signaling Pathway Maps to Biochemical Data with Constrained Fuzzy Logic: Quantitative Analysis of Liver Cell Responses to Inflammatory Stimuli.
- Published in:
- PLoS Computational Biology, 2011, v. 7, n. 3, p. 1, doi. 10.1371/journal.pcbi.1001099
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- Publication type:
- Article
3
Non Linear Programming (NLP) Formulation for Quantitative Modeling of Protein Signal Transduction Pathways.
- Published in:
- PLoS ONE, 2012, v. 7, n. 11, p. 1, doi. 10.1371/journal.pone.0050085
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- Publication type:
- Article
4
Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions.
- Published in:
- Biotechnology Journal, 2012, v. 7, n. 3, p. 374, doi. 10.1002/biot.201100222
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- Publication type:
- Article
5
Benchmarking network algorithms for contextualizing genes of interest.
- Published in:
- PLoS Computational Biology, 2019, v. 15, n. 12, p. N.PAG, doi. 10.1371/journal.pcbi.1007403
- By:
- Publication type:
- Article