Casey Greene | Integrating -omic data across datasets and layers | CGSI 2022
Автор: Computational Genomics Summer Institute CGSI
Загружено: 2022-10-28
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Описание:
Casey Greene | University of Colorado School of Medicine
Research | Integrating -omic data across datasets and layers
Related papers:
1. Crawford, J., Christensen, B. C., Chikina, M., & Greene, C. S. (2022). Widespread redundancy in -omics profiles of cancer mutation states. Genome biology, 23(1), 137. https://doi.org/10.1186/s13059-022-02...
2. Alexandra J. Lee, Dallas L. Mould, Jake Crawford, Dongbo Hu, Rani K. Powers, Georgia Doing, James C. Costello, Deborah A. Hogan, Casey S. Greene. Generative neural networks separate common and specific transcriptional responses. bioRxiv 2021.05.24.445440; doi: https://doi.org/10.1101/2021.05.24.44...
3. Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. https://greenelab.github.io/phenoplie...
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