Author

Mohamed Ali al‐Badri

University College LondonORCID 0000-0003-2917-1674Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

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Chris P. BarnesiD· 1 shared William C. H. CrossiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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1 shared paperCancer Biology

Chris P. BarnesORCID

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintMar 8, 2024

DeepCNA: an explainable deep learning method for cancer diagnosis and cancer-specific patterns of copy number aberrations

Mohamed Ali al‐Badri, William C. H. Cross, Chris P. Barnes

DeepCNA identifies cancer-specific copy number aberrations across 13 cancer types using explainable deep learning for diagnosis and biomarker discovery.

2 citations

humanwhole-genome sequencing

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