Author

Sumaya Alghamdi

King Abdulaziz University

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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Bioinformatics· 2

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Turki TurkiiD· 2 shared Y‐h. TaguchiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Turki TurkiORCID

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2 papers

Recent·Most cited

De novo single-cell biological analysis of drug resistance in human melanoma through a novel deep learning-powered approach

Sumaya Alghamdi, Turki Turki, Y‐h. Taguchi

The paper develops a deep learning approach to analyze drug resistance in melanoma using scRNA-seq data, identifying key genes and drugs associated with resistance.

Mathematics · Oct 20, 2025Peer-reviewedBioinformatics

A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks

Sumaya Alghamdi, Turki Turki

This paper introduces an interpretable deep transfer learning model for T2D prediction using single-cell gene regulatory network images, achieving higher balanced accuracy than baseline methods.

Scientific Reports · Feb 23, 2024Peer-reviewedBioinformatics