Daniel Marbach
Affiliations: | Massachusetts Institute of Technology, Cambridge, MA, United States |
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"Daniel Marbach"
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Publications
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| Tomasoni M, Gómez S, Crawford J, et al. (2020) MONET: a toolbox integrating top-performing methods for network modularisation. Bioinformatics (Oxford, England) |
| Choobdar S, Ahsen ME, Crawford J, et al. (2019) Assessment of network module identification across complex diseases. Nature Methods. 16: 843-852 |
| Delaneau O, Zazhytska M, Borel C, et al. (2019) Chromatin three-dimensional interactions mediate genetic effects on gene expression. Science (New York, N.Y.). 364 |
| Gönen M, Weir BA, Cowley GS, et al. (2017) A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines. Cell Systems |
| Lamparter D, Marbach D, Rueedi R, et al. (2017) Genome-Wide Association between Transcription Factor Expression and Chromatin Accessibility Reveals Regulators of Chromatin Accessibility. Plos Computational Biology. 13: e1005311 |
| Marbach D, Lamparter D, Quon G, et al. (2016) Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases. Nature Methods |
| Lamparter D, Marbach D, Rueedi R, et al. (2016) Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics. Plos Computational Biology. 12: e1004714 |
| Feizi S, Marbach D, Médard M, et al. (2015) Corrigendum: Network deconvolution as a general method to distinguish direct dependencies in networks. Nature Biotechnology. 33: 424 |
| Feizi S, Marbach D, Médard M, et al. (2013) Network deconvolution as a general method to distinguish direct dependencies in networks. Nature Biotechnology. 31: 726-33 |
| Marbach D, Costello JC, Küffner R, et al. (2012) Wisdom of crowds for robust gene network inference. Nature Methods. 9: 796-804 |