Casey S. Greene, Ph.D.
Affiliations: | 2012-2015 | Genetics | Geisel School of Medicine at Dartmouth, Hanover, NH, United States |
| 2015-2020 | Pharmacology | University of Pennsylvania Perelman School of Medicine | |
| 2020- | Biomedical Informatics | University of Colorado Anschutz Medical Campus, Denver, Aurora, CO |
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"Casey Greene"Parents
Sign in to add mentor| Jason H. Moore | grad student | 2009 | Dartmouth | |
| (Relief-based bioinformatics methods for the analysis of epistasis in genetic association studies.) | ||||
| Olga G. Troyanskaya | post-doc | (Cell Biology Tree) | ||
Children
Sign in to add trainee| Gregory P Way | grad student | 2014- | University of Pennsylvania Perelman School of Medicine |
| Jie Tan | grad student | 2017 | Dartmouth |
| Brett K. Beaulieu-Jones | grad student | 2013-2017 | University of Pennsylvania Perelman School of Medicine |
| Daniel Himmelstein | post-doc | 2016- | University of Pennsylvania Perelman School of Medicine |
| Jaclyn Taroni | post-doc | 2016- | University of Pennsylvania Perelman School of Medicine |
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Publications
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| Zietz M, Himmelstein DS, Kloster K, et al. (2024) The probability of edge existence due to node degree: a baseline for network-based predictions. Gigascience. 13 |
| Crawford J, Chikina M, Greene CS. (2024) Optimizer's dilemma: optimization strongly influences model selection in transcriptomic prediction. Bioinformatics Advances. 4: vbae004 |
| Davidson NR, Barnard ME, Hippen AA, et al. (2023) Molecular subtypes of high grade serous ovarian cancer across racial groups and gene expression platforms. Biorxiv : the Preprint Server For Biology |
| Pividori M, Lu S, Li B, et al. (2023) Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. Nature Communications. 14: 5562 |
| Zhang S, Heil BJ, Mao W, et al. (2023) MousiPLIER: A Mouse Pathway-Level Information Extractor Model. Biorxiv : the Preprint Server For Biology |
| Himmelstein DS, Zietz M, Rubinetti V, et al. (2023) Hetnet connectivity search provides rapid insights into how biomedical entities are related. Gigascience. 12 |
| Shapiro JA, Gaonkar KS, Spielman SJ, et al. (2023) OpenPBTA: The Open Pediatric Brain Tumor Atlas. Cell Genomics. 3: 100340 |
| Banerjee J, Taroni JN, Allaway RJ, et al. (2023) Machine learning in rare disease. Nature Methods |
| Dang MT, Gonzalez MV, Gaonkar KS, et al. (2023) Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality. Cell Reports. 42: 112600 |
| Foltz SM, Greene CS, Taroni JN. (2023) Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously. Communications Biology. 6: 222 |