Research output per year
Research output per year
Personal profile
Research interests
- Network Analysis
- Analysis of high-dimensional genetic and genomic data including RNA-sequencing studies and microbiome studies
Biography
Dr. Seungjun Ahn is an Assistant Professor of Biostatistics in the Department of Population Health Science and Policy. His current research focuses on developing and applying statistical methods and bioinformatics tools to solve problems in -omics data based on differential network analysis. Dr. Ahn received his Ph.D. in Biostatistics from the University of Florida, advised by Drs. Somnath Datta and Samuel S. Wu. He was the NIH/NIAAA T32 predoctoral fellow at the Southern HIV and Alcohol Research Consortium, Emerging Pathogens Institute (PI: Dr. Robert L. Cook) from 2021-2023. Prior to his doctoral studies, he was a biostatistician at the Biostatistics Unit, Feinstein Institute for Medical Research at Northwell Health. He conferred his M.S. in Biostatistics from Columbia University and B.A. in Mathematics from Boston University.
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Research output
- 27 Article
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A Behavioral Economic Examination of Sexual Behaviors in the Era of Pre-exposure Prophylaxis via Explanatory Sequential Mixed Methods
Gebru, N. M., James, T. G., Ahn, S., Cheong, J. W., Berry, M. S., Cook, R. L. & Leeman, R. F., Apr 2024, In: Archives of Sexual Behavior. 53, 4, p. 1541-1559 19 p.Research output: Contribution to journal › Article › peer-review
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Differential network connectivity analysis for microbiome data adjusted for clinical covariates using jackknife pseudo-values
Ahn, S. & Datta, S., Dec 2024, In: BMC Bioinformatics. 25, 1, 117.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine Learning Methods in Classification of Prolonged Radiation Therapy in Oropharyngeal Cancer: National Cancer Database
Ahn, S., Oh, E. J., Saleem, M. I. & Tham, T., Dec 2024, In: Otolaryngology - Head and Neck Surgery. 171, 6, p. 1764-1772 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
SOHPIE: statistical approach via pseudo-value information and estimation for differential network analysis of microbiome data
Ahn, S. & Datta, S., 1 Jan 2024, In: Bioinformatics. 40, 1, 40.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
A pseudo-value regression approach for differential network analysis of co-expression data
Ahn, S., Grimes, T. & Datta, S., Dec 2023, In: BMC Bioinformatics. 24, 1, 8.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations