Christophe Hafemeister
Affiliations: | New York University, New York, NY, United States |
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"Christophe Hafemeister"
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| Tanevski J, Nguyen T, Truong B, et al. (2020) Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data. Life Science Alliance. 3 |
| Arrieta-Ortiz ML, Hafemeister C, Shuster B, et al. (2020) Inference of Bacterial Small RNA Regulatory Networks and Integration with Transcription Factor-Driven Regulatory Networks. Msystems. 5 |
| Hafemeister C, Satija R. (2019) Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression. Genome Biology. 20: 296 |
| Stuart T, Butler A, Hoffman P, et al. (2019) Comprehensive Integration of Single-Cell Data. Cell |
| Wilkins O, Hafemeister C, Plessis A, et al. (2016) EGRINs (Environmental Gene Regulatory Influence Networks) in Rice That Function in the Response to Water Deficit, High Temperature, and Agricultural Environments. The Plant Cell |
| Plessis A, Hafemeister C, Wilkins O, et al. (2015) Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions. Elife. 4 |
| Arrieta-Ortiz ML, Hafemeister C, Bate AR, et al. (2015) An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network. Molecular Systems Biology. 11: 839 |
| Hafemeister C, Romero R, Bilal E, et al. (2015) Inter-species pathway perturbation prediction via data-driven detection of functional homology. Bioinformatics (Oxford, England). 31: 501-8 |
| 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 |
| Greenfield A, Hafemeister C, Bonneau R. (2013) Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks. Bioinformatics (Oxford, England). 29: 1060-7 |