Eugene Urrutia, Ph.D.
Affiliations: | 2013 | Biostatistics | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Statistics, Genetics, Bioinformatics BiologyGoogle:
"Eugene Urrutia"Parents
Sign in to add mentor| Micheal C. Wu | grad student | 2013 | UNC Chapel Hill | |
| (The statistical analysis of genetic sequencing and rare variant association studies.) | ||||
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Publications
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| Dong M, Thennavan A, Urrutia E, et al. (2020) SCDC: bulk gene expression deconvolution by multiple single-cell RNA sequencing references. Briefings in Bioinformatics |
| Urrutia E, Chen L, Zhou H, et al. (2019) Destin: toolkit for single-cell analysis of chromatin accessibility. Bioinformatics (Oxford, England) |
| Jiang Y, Wang R, Urrutia E, et al. (2018) CODEX2: full-spectrum copy number variation detection by high-throughput DNA sequencing. Genome Biology. 19: 202 |
| Urrutia E, Chen H, Zhou Z, et al. (2018) Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny. Bioinformatics (Oxford, England) |
| Urrutia E, Lee S, Maity A, et al. (2015) Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT). Statistics and Its Interface. 8: 495-505 |
| Bencharit S, Baxter SS, Carlson J, et al. (2013) Salivary proteins associated with hyperglycemia in diabetes: a proteomic analysis. Molecular Biosystems. 9: 2785-97 |