Tae-Hyuk Ahn

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Loop Mediated Isothermal Amplification

Peripheral Blood

Top Venues

bioRxiv : the preprint server for biology

BMC bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Cory Gardner, Junhao Chen, Christina Hadfield, Zhaolian Lu, David Debruin, Yu Zhan, Maureen Donlin, Tae-Hyuk Ahn, Zhenguo Lin
Chromosome-level subgenome-aware de novo assembly of Saccharomyces bayanus provides insight into genome divergence after hybridization. Genome research (2024)
Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn, Haijun Gong
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence. Stats 7 (2) (2024)
Cory Gardner, Junhao Chen, Christina Hadfield, Zhaolian Lu, David Debruin, Yu Zhan, Maureen J Donlin, Zhenguo Lin, Tae-Hyuk Ahn
Chromosome-level Subgenome-aware de novo Assembly of Saccharomyces bayanus Provides Insight into Genome Divergence after Hybridization. bioRxiv : the preprint server for biology (2024)
Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn, Haijun Gong
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence. Stats 7 (2) (2024)
Cory Gardner, Junhao Chen, Christina Hadfield, Zhaolian Lu, David Debruin, Yu Zhan, Maureen J Donlin, Zhenguo Lin, Tae-Hyuk Ahn
Chromosome-level Subgenome-aware de novo Assembly of Saccharomyces bayanus Provides Insight into Genome Divergence after Hybridization. bioRxiv : the preprint server for biology (2024)
Tong Si, Yunge Wang, Lingling Zhang, Evan Richmond, Tae-Hyuk Ahn, Haijun Gong
Multivariate Time Series Change-Point Detection with a Novel Pearson-like Scaled Bregman Divergence. Stats 7 (2) (2024)
Yassin Mreyoud, Myoungkyu Song, Jihun Lim, Tae-Hyuk Ahn
MegaD: Deep Learning for Rapid and Accurate Disease Status Prediction of Metagenomic Samples. Life (Basel, Switzerland) 12 (5) (2022)
Scott Lewis, Andrea Nash, Qinghong Li, Tae-Hyuk Ahn
Comparison of 16S and whole genome dog microbiomes using machine learning. BioData mining 14 (1) (2021)
Ahmad Rajeh, Kyle Wolf, Courtney Schiebout, Nabeel Sait, Tim Kosfeld, Richard J DiPaolo, Tae-Hyuk Ahn
iCAT: diagnostic assessment tool of immunological history using high-throughput T-cell receptor sequencing. F1000Research 10 (2021)
Eliza Dhungel, Yassin Mreyoud, Ho-Jin Gwak, Ahmad Rajeh, Mina Rho, Tae-Hyuk Ahn
MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning. BMC bioinformatics 22 (1) (2021)
Yongil Yang, Cory Gardner, Pallavi Gupta, Yanhui Peng, Cristiano Piasecki, Reginald J Millwood, Tae-Hyuk Ahn, Charles Neal Stewart
Novel Candidate Genes Differentially Expressed in Glyphosate-Treated Horseweed (Conyza canadensis). Genes 12 (10) (2021)
Ahmad Rajeh, Kyle Wolf, Courtney Schiebout, Nabeel Sait, Tim Kosfeld, Richard J DiPaolo, Tae-Hyuk Ahn
iCAT: diagnostic assessment tool of immunological history using high-throughput T-cell receptor sequencing. F1000Research 10 (2021)
Mariah Hassert, Kyle J Wolf, Ahmad Rajeh, Courtney T Schiebout, Stella G Hoft, Tae-Hyuk Ahn, Richard J DiPaolo, James D D Brien, Amelia K Pinto
Diagnostic differentiation of Zika and dengue virus exposure by analyzing T cell receptor sequences from peripheral blood of infected HLA-A2 transgenic mice. PLoS neglected tropical diseases 14 (12) (2020)
Zachary N Harris, Eliza Dhungel, Matthew Mosior, Tae-Hyuk Ahn
Massive metagenomic data analysis using abundance-based machine learning. Biology direct 14 (1) (2019)