Justin Guinney, Ph.D.
Affiliations: | Computational Biology and Bioinformatics | Duke University, Durham, NC |
Area:
Computational biology , statistical learning , Laplacian statisticsGoogle:
"Justin Guinney"Mean distance: 16.01 (cluster 29) | S | N | B | C | P |
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Publications
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| Pollard K, Banerjee J, Doan X, et al. (2020) A clinically and genomically annotated nerve sheath tumor biospecimen repository. Scientific Data. 7: 184 |
| Rozenblatt-Rosen O, Regev A, Oberdoerffer P, et al. (2020) The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution. Cell. 181: 236-249 |
| Banerjee J, Allaway RJ, Taroni JN, et al. (2020) Integrative Analysis Identifies Candidate Tumor Microenvironment and Intracellular Signaling Pathways that Define Tumor Heterogeneity in NF1. Genes. 11 |
| Mason MJ, Schinke C, Eng CLP, et al. (2020) Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease. Leukemia |
| Eddy JA, Thorsson V, Lamb AE, et al. (2020) CRI iAtlas: an interactive portal for immuno-oncology research F1000research. 9: 1028 |
| Chen Z, Mo J, Brosseau J, et al. (2020) Abstract B23: A novel model of neurofibroma that deciphers its developmental origin and susceptibility to modification by the Hippo pathway Molecular Cancer Research. 18 |
| Dienstmann R, Villacampa G, Sveen A, et al. (2019) Relative contribution of clinicopathological variables, genomic markers, transcriptomic subtyping and microenvironment features for outcome prediction in stage II/III colorectal cancer. Annals of Oncology : Official Journal of the European Society For Medical Oncology |
| Thorsson V, Gibbs DL, Brown SD, et al. (2019) The Immune Landscape of Cancer. Immunity. 51: 411-412 |
| Menden MP, Wang D, Mason MJ, et al. (2019) Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications. 10: 2674 |
| Gosline SJC, Allaway R, Guinney J. (2019) DTEN: a network-based workflow to identify drug target networks from gene expression data in rare disease F1000research. 8 |