Author

Kamil Khan Mohammed

The University of Texas Health Science Center at Houston

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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Cheng CheniD· 1 shared Craig K. CassidyiD· 1 shared Danai KitkungvaniD· 1 shared Degui ZhiiD· 1 shared Eloisa ArbustiniiD· 1 shared Jagat NarulaiD· 1 shared Khush A Patel· 1 shared Lei YouiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Cheng ChenORCID

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1 paper

Recent·Most cited

Uncovering genetic architecture of the heart via genetic association studies of unsupervised deep learning derived endophenotypes

Lei You, Xingzhong Zhao, Ziqian Xie, Khush A Patel, Cheng Chen, Danai Kitkungvan, Kamil Khan Mohammed, Navneet Narula, Eloisa Arbustini, Craig K. Cassidy, Jagat Narula, Degui Zhi

This study uses deep learning to derive image phenotypes from cardiac MRI and performs GWAS, identifying 323 SNPs and 628 genes associated with cardiac traits and diseases.

bioRxiv · Sep 17, 2025 · PreprintBioinformatics