Author

Kamran Shazand

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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Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Anxhela Gjyshi GustafsoniD· 1 shared Benoit Marteau· 1 shared Dawoon JungiD· 1 shared Eun Kyoung LeeiD· 1 shared İslam Oğuz TuncayiD· 1 shared June‐Young KohiD· 1 shared May D. Wang· 1 shared Oankar R. PatiliD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Anxhela Gjyshi GustafsonORCID

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2 papers

Recent·Most cited

GenomicsACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)Peer-reviewedOct 12, 2025

Data-Driven Symbolic Higher-Order Epistasis Discovery with Kolmogorov-Arnold Networks

Oankar R. Patil, Kamran Shazand, Benoit Marteau…·May D. Wang

This paper introduces EPIK, a deep learning framework for detecting higher-order epistasis in GWAS data, showing improved performance on simulated and real datasets and identifying new gene interactions in Parkinson's Disease.

DOI 10.1145/3765612.3767250

ArabidopsisGWAS summary statistics

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Genetic & Genomic MedicinemedRxivPreprintJan 23, 2025

Whole Genome Sequencing in Adolescent Idiopathic Scoliosis Cohort Indicates Polygenic Disease Involving Multiple Biological Pathways

İslam Oğuz Tuncay, Eun Kyoung Lee, Anxhela Gjyshi Gustafson…·Kamran Shazand

This study uses whole-genome sequencing to identify genetic variations and biological pathways associated with adolescent idiopathic scoliosis.

1 citation

humanwhole-genome sequencing

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