Author

M. Fateh

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Bioengineering· 1

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Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Organism:human· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

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H. Alinejad-Rokny· 1 shared M. Rezanavi· 1 shared P. Parhami· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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1 shared paperBioengineering

H. Alinejad-Rokny

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1 paper

Recent·Most cited

A benchmarking of deep neural network models for cancer subtyping using single point mutations

P. Parhami, M. Fateh, M. Rezanavi, H. Alinejad-Rokny

This study benchmarks deep neural networks for cancer subtyping using somatic point mutations, finding CNN achieves the highest accuracy on a TCGA-derived dataset.

bioRxiv · Jul 24, 2022 · PreprintBioengineering