| Pathway-based classification of cancer subtypes S Kim, M Kon, C DeLisi Biology direct 7, 1-22, 2012 | 123 | 2012 |
| Treadmill running reverses cognitive declines due to Alzheimer disease J Cho, MK Shin, D Kim, I Lee, S Kim, H Kang Medicine & Science in Sports & Exercise 47 (9), 1814-1824, 2015 | 92 | 2015 |
| Inferring gene regulatory networks from temporal expression profiles under time-delay and noise S Kim, J Kim, KH Cho Computational biology and chemistry 31 (4), 239-245, 2007 | 66 | 2007 |
| Effect of training intensity on nonalcoholic fatty liver disease. J Cho, S Kim, S Lee, H Kang Medicine and science in sports and exercise 47 (8), 1624-1634, 2015 | 60 | 2015 |
| Identifying the target mRNAs of microRNAs in colorectal cancer S Kim, M Choi, KH Cho Computational biology and chemistry 33 (1), 94-99, 2009 | 37 | 2009 |
| Parameter identification for nonlinear elastic and viscoelastic plates S Kim, KL Kreider Applied Numerical Mathematics 56 (12), 1538-1554, 2006 | 34 | 2006 |
| Cancer survival classification using integrated data sets and intermediate information S Kim, T Park, M Kon Artificial intelligence in medicine 62 (1), 23-31, 2014 | 22 | 2014 |
| Physical activity and all-cause mortality in Korean older adults J Cho, I Lee, S Park, Y Jin, D Kim, S Kim, H Kang Annals of human biology 45 (4), 337-345, 2018 | 21 | 2018 |
| Identifying molecular subtypes related to clinicopathologic factors in pancreatic cancer S Kim, MJ Kang, S Lee, S Bae, S Han, JY Jang, T Park Biomedical engineering online 13, 1-11, 2014 | 16 | 2014 |
| Identifying dynamic pathway interactions based on clinical information S Kim Computational Biology and Chemistry 68, 260-265, 2017 | 9 | 2017 |
| Regularization techniques for machine learning on graphs and networks with biological applications C DeLisi, Y Fan, S Kim, M Kon, L Raphael | 7 | 2010 |
| Smoothing gene expression using biological networks Y Fan, M Kon, S Kim, C DeLisi 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 5 | 2010 |
| A method for generating new datasets based on copy number for cancer analysis S Kim, M Kon, H Kang BioMed Research International 2015, 2015 | 4 | 2015 |
| Computational methods for cancer survival classification using intermediate information. S Kim, T Park, MA Kon IWBBIO, 517-525, 2013 | 3 | 2013 |
| Asymptotic solutions of inverse scattering problems on weakly nonlinear elastic rods S Kim University of Akron, Department of Mathematics and Computer Sciences, 1999 | 3 | 1999 |
| Pathway Interactions Based on Drug-Induced Datasets S Kim Cancer Informatics 18, 1176935119851518, 2019 | 2 | 2019 |
| Computational model for predicting the relationship between Micro-RNAs and their target messenger RNAs in breast and colon cancers S Kim Cancer Informatics 17, 1176935118785145, 2018 | 2 | 2018 |
| An asymptotic approach to inverse scattering problems on weakly nonlinear elastic rods S Kim, KL Kreider Journal of Applied Mathematics 2, 407-435, 2002 | 2 | 2002 |
| Comparisons of cancer classifiers based on RNA_seq and miRNA_seq S Kim, H Lee, M Kon International Journal of Data Mining and Bioinformatics 17 (4), 359-368, 2017 | 1 | 2017 |
| Some comparisons of gene expression classifiers S Kim, M Kon, H Lee 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 1 | 2016 |
