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2020 – today
- 2024
[j5]Guy Karlebach
, Peter N. Robinson:
Computing Minimal Boolean Models of Gene Regulatory Networks. J. Comput. Biol. 31(2): 117-127 (2024)- 2023
- [j4]Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin T. Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson:
An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinform. 39(4) (2023) - 2022
- [c1]Guy Karlebach, Peter N. Robinson:
Computing Minimal Boolean Models of Gene Regulatory Networks. BIBM 2022: 2519-2525
2010 – 2019
- 2015
- [i1]Guy Karlebach:
A Novel Algorithm for the Maximal Fit Problem in Boolean Networks. CoRR abs/1505.07335 (2015) - 2013
- [j3]Guy Karlebach:
Inferring Boolean network states from partial information. EURASIP J. Bioinform. Syst. Biol. 2013: 11 (2013) - 2012
- [b1]Guy Karlebach:
Modeling and analysis of perturbations in gene regulatory networks. Tel Aviv University, Israel, 2012 - [j2]Guy Karlebach, Ron Shamir:
Constructing Logical Models of Gene Regulatory Networks by Integrating Transcription Factor-DNA Interactions with Expression Data: An Entropy-Based Approach. J. Comput. Biol. 19(1): 30-41 (2012) - 2010
- [j1]Guy Karlebach, Ron Shamir:
Minimally perturbing a gene regulatory network to avoid a disease phenotype: the glioma network as a test case. BMC Syst. Biol. 4: 15 (2010)
Coauthor Index
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