Author

Pooya Mobadersany

Emory UniversityORCID 0000-0001-9310-1983Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Daniel Jay BratiD· 1 shared David A. GutmaniD· 1 shared Jill S. Barnholtz‐SloaniD· 1 shared José E. Velázquez VegaiD· 1 shared Lee CooperiD· 1 shared Mohamed T. AmgadiD· 1 shared Safoora YousefiiD· 1 shared

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2018-2018 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Daniel Jay BratORCID

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1 paper

Recent·Most cited

BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedMar 12, 2018

Predicting cancer outcomes from histology and genomics using convolutional networks

Pooya Mobadersany, Safoora Yousefi, Mohamed T. Amgad…·Lee Cooper

This study uses deep learning to predict cancer patient outcomes by integrating histology images and genomic data, showing improved performance over current clinical methods for glioma survival prediction.

1,084 citationstop 1%

humanbulk RNA-seq

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