Seunghyun Park
Seoul, Republic of Korea
Last Updated: 09/26/2026
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Found 12 publications
Fairness-Based Multi-AP Coordination Using Federated Learning in Wi-Fi 7.
Journal: Sensors (Basel, Switzerland)
Published: October 31, 2022
Hierarchical Anomaly Detection Model for In-Vehicle Networks Using Machine Learning Algorithms.
Journal: Sensors (Basel, Switzerland)
Published: June 13, 2020
SquidLab-A user-friendly program for background subtraction and fitting of magnetization data.
Journal: The Review of scientific instruments
Published: March 02, 2020
Correction: A genetic variant in SLC28A3, rs56350726, is associated with progression to castration-resistant prostate cancer in a Korean population with metastatic prostate cancer.
Journal: Oncotarget
Published: August 31, 2018
Machine learning-based identification of endogenous cellular microRNA sponges against viral microRNAs.
Journal: Methods (San Diego, Calif.)
Published: January 16, 2017
A genetic variant in SLC28A3, rs56350726, is associated with progression to castration-resistant prostate cancer in a Korean population with metastatic prostate cancer.
Journal: Oncotarget
Published: December 14, 2016
Genome-wide detection of allelic genetic variation to predict advanced-stage prostate cancer after radical prostatectomy using an exome SNP chip.
Journal: Urologic oncology
Published: March 25, 2015
Genome-wide detection of allelic genetic variation to predict biochemical recurrence after radical prostatectomy among prostate cancer patients using an exome SNP chip.
Journal: Journal of cancer research and clinical oncology
Published: December 18, 2014
A clinicogenetic model to predict lymph node invasion by use of genome-based biomarkers from exome arrays in prostate cancer patients.
Journal: Korean journal of urology
Published: November 28, 2014
The use of exome genotyping to predict pathological Gleason score upgrade after radical prostatectomy in low-risk prostate cancer patients.
Journal: PloS one
Published: March 26, 2014
Showing 1-12 of 12
Last Updated: 09/26/2026