Author

Temidayo Adeluwa

University of Chicago

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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Genetics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Boxiang LiuiD· 1 shared Festus M. NyasimiiD· 1 shared Hae Kyung ImiD· 1 shared Hyunki KimiD· 1 shared Joseph E. PowelliD· 1 shared Lisha ZhuiD· 1 shared Mengjie CheniD· 1 shared Ravi MadduriiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Boxiang LiuORCID

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1 paper

Recent·Most cited

scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study framework

Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar, Sarah Sumner, Hyunki Kim, Saideep Gona, Festus M. Nyasimi, Rohit N. Kulkarni, Joseph E. Powell, Ravi Madduri, Boxiang Liu, Mengjie Chen, Hae Kyung Im

scPrediXcan improves transcriptome-wide association studies by integrating deep learning for cell-type-specific gene expression prediction, identifying more causal genes and explaining more GWAS loci in type 2 diabetes and systemic lupus erythematosus.

bioRxiv · Nov 11, 2024 · PreprintGenetics