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| Miraldi ER, Pokrovskii M, Waters A, et al. (2019) Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells. Genome Research |
| Chatterjee SS, Saj A, Gocha T, et al. (2015) Inhibition of β-catenin-TCF1 interaction delays differentiation of mouse embryonic stem cells. The Journal of Cell Biology. 211: 39-51 |
| Yu B, Doraiswamy H, Chen X, et al. (2014) Genotet: An Interactive Web-based Visual Exploration Framework to Support Validation of Gene Regulatory Networks. Ieee Transactions On Visualization and Computer Graphics. 20: 1903-12 |
| Chang D, Gao F, Slavney A, et al. (2014) Accounting for eXentricities: analysis of the X chromosome in GWAS reveals X-linked genes implicated in autoimmune diseases. Plos One. 9: e113684 |
| Guedan S, Chen X, Madar A, et al. (2014) ICOS-based chimeric antigen receptors program bipolar TH17/TH1 cells. Blood. 124: 1070-80 |
| Ciofani M, Madar A, Galan C, et al. (2012) A validated regulatory network for Th17 cell specification. Cell. 151: 289-303 |
| Greenfield A, Madar A, Ostrer H, et al. (2010) DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models. Plos One. 5: e13397 |
| Madar A, Greenfield A, Vanden-Eijnden E, et al. (2010) DREAM3: Network inference using dynamic context likelihood of relatedness and the inferelator Plos One. 5 |
| Madar A, Greenfield A, Ostrer H, et al. (2009) The Inferelator 2.0: a scalable framework for reconstruction of dynamic regulatory network models. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2009: 5448-51 |
| Madar A, Bonneau R. (2009) Learning global models of transcriptional regulatory networks from data. Methods in Molecular Biology (Clifton, N.J.). 541: 181 |