Author

T. M. George

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Cancer Biology· 1

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:variational autoencoder· 1

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P. Lio· 1 shared

Activity by Year

2019-2019 · peak 1/yr

1 paper

Recent·Most cited

Unsupervised Machine Learning for Data Encoding appliedto Ovarian Cancer Transcriptomes

T. M. George, P. Lio

This paper trains a variational autoencoder on ovarian cancer transcriptomes to predict cisplatin resistance and identifies biological processes associated with platinum resistance.

bioRxiv · Nov 26, 2019 · PreprintCancer Biology