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Jungsoo Gim
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2020 – today
- 2023
- [j5]Jun Young Park
, Jang Jae Lee, Younghwa Lee, Dongsoo Lee, Jungsoo Gim, Lindsay A. Farrer
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. Bioinform. 39(9) (2023)
2010 – 2019
- 2016
- [j4]Jungsoo Gim, Sungkyoung Choi
A post-hoc genome-wide association study using matched samples. Int. J. Data Min. Bioinform. 14(3): 197-209 (2016) - [j3]Jungsoo Gim, Taesung Park:
The effect of impurity of reference peptides on normalisation in selected reaction monitoring experiments. Int. J. Data Min. Bioinform. 15(1): 1-9 (2016) - [j2]Jungsoo Gim, Sungho Won, Taesung Park:
Conditional estimation of local pooled dispersion parameter in small-sample RNA-Seq data improves differential expression test. J. Bioinform. Comput. Biol. 14(5): 1644006:1-1644006:13 (2016) - 2014
- [c3]Jungsoo Gim, Taesung Park:
A normalization method for multiple reaction monitoring (MRM) data. BIBM 2014: 1-4 - [c2]Jungsoo Gim, Sungkyoung Choi
Genome-wide association analysis with matched samples discloses additional novel risk loci. BIBM 2014: 5-10 - 2012
- [c1]Jungsoo Gim, Taesung Park:
Identifying differential expression for RNA-seq data with no replication. BIBM Workshops 2012: 847-851 - 2010
- [j1]Jungsoo Gim, Ho-Shik Kim, Junil Kim
A system-level investigation into the cellular toxic response mechanism mediated by AhR signal transduction pathway. Bioinform. 26(17): 2169-2175 (2010)
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