Year |
Citation |
Score |
2019 |
Seo J, Laine TH, Sohn KA. An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data. Sensors (Basel, Switzerland). 19. PMID 31635194 DOI: 10.3390/S19204561 |
0.312 |
|
2019 |
Lee G, Kang B, Nho K, Sohn KA, Kim D. MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework. Frontiers in Genetics. 10: 617. PMID 31316553 DOI: 10.3389/Fgene.2019.00617 |
0.303 |
|
2019 |
Sung JY, Shin HT, Sohn KA, Shin SY, Park WY, Joung JG. Assessment of intratumoral heterogeneity with mutations and gene expression profiles. Plos One. 14: e0219682. PMID 31310640 DOI: 10.1371/Journal.Pone.0219682 |
0.339 |
|
2019 |
Kim TR, Jeong HH, Sohn KA. Topological integration of RPPA proteomic data with multi-omics data for survival prediction in breast cancer via pathway activity inference. Bmc Medical Genomics. 12: 94. PMID 31296204 DOI: 10.1186/S12920-019-0511-X |
0.319 |
|
2019 |
Kim SY, Jeong HH, Kim J, Moon JH, Sohn KA. Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies. Biology Direct. 14: 8. PMID 31036036 DOI: 10.1186/S13062-019-0239-8 |
0.33 |
|
2017 |
Wang S, Jeong HH, Kim D, Wee K, Park HS, Kim SH, Sohn KA. Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population. Bmc Medical Genomics. 10: 31. PMID 28589859 DOI: 10.1186/S12920-017-0266-1 |
0.345 |
|
2016 |
Vangimalla RR, Jeong HH, Sohn KA. Integrative regression network for genomic association study. Bmc Medical Genomics. 9: 31. PMID 27535739 DOI: 10.1186/S12920-016-0192-7 |
0.318 |
|
2015 |
Sohn KA, Wee K. A comment on two-locus epistatic interaction models for genome-wide association studies. Journal of Bioinformatics and Computational Biology. 13: 1571004. PMID 26260855 DOI: 10.1142/S0219720015710043 |
0.333 |
|
2015 |
Jeong HH, Leem S, Wee K, Sohn KA. Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer. Journal of Ovarian Research. 8: 42. PMID 26138921 DOI: 10.1186/S13048-015-0171-1 |
0.32 |
|
2015 |
Jeong HH, Kim S, Wee K, Sohn KA. Investigating the utility of clinical outcome-guided mutual information network in network-based Cox regression. Bmc Systems Biology. 9: S8. PMID 25708115 DOI: 10.1186/1752-0509-9-S1-S8 |
0.306 |
|
2014 |
Jeong HH, Sohn KA. Relevance Epistasis Network of Gastritis for Intra-chromosomes in the Korea Associated Resource (KARE) Cohort Study. Genomics & Informatics. 12: 216-24. PMID 25705161 DOI: 10.5808/Gi.2014.12.4.216 |
0.325 |
|
2014 |
Leem S, Jeong HH, Lee J, Wee K, Sohn KA. Fast detection of high-order epistatic interactions in genome-wide association studies using information theoretic measure. Computational Biology and Chemistry. 50: 19-28. PMID 24581733 DOI: 10.1016/J.Compbiolchem.2014.01.005 |
0.303 |
|
2012 |
Sohn KA, Ghahramani Z, Xing EP. Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach. Genetics. 191: 1295-308. PMID 22649082 DOI: 10.1534/Genetics.112.140228 |
0.599 |
|
2009 |
Kim S, Sohn KA, Xing EP. A multivariate regression approach to association analysis of a quantitative trait network. Bioinformatics (Oxford, England). 25: i204-12. PMID 19477989 DOI: 10.1093/Bioinformatics/Btp218 |
0.561 |
|
2009 |
Sohn K, Xing EP. A hierarchical Dirichlet process mixture model for haplotype reconstruction from multi-population data The Annals of Applied Statistics. 3: 791-821. DOI: 10.1214/08-Aoas225 |
0.589 |
|
2007 |
Sohn KA, Xing EP. Spectrum: joint Bayesian inference of population structure and recombination events. Bioinformatics (Oxford, England). 23: i479-89. PMID 17646333 DOI: 10.1093/bioinformatics/btm171 |
0.594 |
|
2007 |
Xing EP, Sohn K. Hidden Markov Dirichlet process: modeling genetic inference in open ancestral space Bayesian Analysis. 2: 501-527. DOI: 10.1214/07-Ba220 |
0.618 |
|
2006 |
Xing EP, Sohn KA, Jordan MI, Teh YW. Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture Acm International Conference Proceeding Series. 148: 1049-1056. DOI: 10.1145/1143844.1143976 |
0.546 |
|
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