Author

A. N. Forbes

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Cancer Biology· 1

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Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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A. Palladino· 1 shared D. Xu· 1 shared E. Khurana· 1 shared S. Cohen· 1 shared T. Karadimitriou· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperCancer Biology

A. Palladino

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1 paper

Recent·Most cited

Recapitulation of patient-specific 3D chromatin conformation using machine learning and validation of identified enhancer-gene targets

D. Xu, A. N. Forbes, S. Cohen, A. Palladino, T. Karadimitriou, E. Khurana

The paper develops a machine learning model to predict enhancer-gene connections from ATAC-seq and RNA-seq data, validated using multi-omics data and CRISPRi in cancer patients.

bioRxiv · Nov 16, 2021 · PreprintCancer Biology