Author

M. Dawood

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

F. u. A. A. Minhas· 2 shared K. Branson· 2 shared L. Jones· 2 shared L. Young· 2 shared N. Rajpoot· 2 shared A. Ben-Hur· 1 shared M. Eastwood· 1 shared M. Jahanifar· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

F. u. A. A. Minhas

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2 papers

Recent·Most cited

Cancer drug sensitivity prediction from routine histology images

M. Dawood, Q. D. Vu, L. Young, K. Branson, L. Jones, N. Rajpoot, F. u. A. A. Minhas

This paper demonstrates using deep learning to predict cancer drug sensitivity from histology images and cell line data, identifying histological patterns linked to drug responses.

bioRxiv · Jun 3, 2023Cancer Biology

Data-Driven Modelling of Gene Expression States in Breast Cancer and their Prediction from Routine Whole Slide Images

M. Dawood, M. Eastwood, M. Jahanifar, L. Young, A. Ben-Hur, K. Branson, L. Jones, N. Rajpoot, F. u. A. A. Minhas

The paper predicts gene expression states from whole slide images using a graph neural network and identifies co-expressing gene groups with clinical and therapeutic relevance.

bioRxiv · Apr 14, 2023 · PreprintPathology