Insuk Sohn
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| 2009 |
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| 6 | Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria. Insuk Sohn, Jooyong Shim, Changha Hwang, Sujong Kim, Jae Won Lee. Computational Statistics & Data Analysis (53): 1727-1735 (2009). Web SearchBibTeXDownload |
| 5 | Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine. Jooyong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang. Computational Statistics & Data Analysis (53): 1736-1742 (2009). Web SearchBibTeXDownload |
| 2008 |
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| 4 | Classification of gene functions using support vector machine for time-course gene expression data. Changyi Park, Ja-Yong Koo, Sujong Kim, Insuk Sohn, Jae Won Lee. Computational Statistics & Data Analysis (52): 2578-2587 (2008). Web SearchBibTeXDownload |
| 3 | New normalization methods using support vector machine quantile regression approach in microarray analysis. Insuk Sohn, Sujong Kim, Changha Hwang, Jae Won Lee. Computational Statistics & Data Analysis (52): 4104-4115 (2008). Web SearchBibTeXDownload |
| 2006 |
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| 2 | Structured polychotomous machine diagnosis of multiple cancer types using gene expression. Ja-Yong Koo, Insuk Sohn, Sujong Kim, Jae Won Lee. Bioinformatics (22): 950-958 (2006). Web SearchBibTeXDownload |
| 2005 |
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| 1 | Exon Structure Analysis via PCA and ICA of Short-Time Fourier Transform. Changha Hwang, David Chiu, Insuk Sohn. ICNC (2) 2005, 306-315. Web SearchBibTeXDownload |
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