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In Sock Jang
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2010 – 2019
- 2015
- [c3]In Sock Jang, Rodrigo Dienstmann, Adam A. Margolin, Justin Guinney:
Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors. Pacific Symposium on Biocomputing 2015: 32-43 - 2014
- [c2]Elias Chaibub Neto, In Sock Jang, Stephen H. Friend, Adam A. Margolin:
The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity. Pacific Symposium on Biocomputing 2014: 27-38 - [c1]In Sock Jang, Elias Chaibub Neto, Justin Guinney, Stephen H. Friend, Adam A. Margolin:
Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data. Pacific Symposium on Biocomputing 2014: 63-74 - 2013
- [j2]Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A. Logsdon, Gaurav Pandey, Benjamin A. Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H. Mecham, Oscar M. Rueda, Jorg Tost, Christina Curtis, Mariano J. Alvarez, Vessela N. Kristensen, Samuel Aparicio, Anne-Lise Børresen-Dale, Carlos Caldas, Andrea Califano, Stephen H. Friend, Trey Ideker, Eric E. Schadt, Gustavo A. Stolovitzky, Adam A. Margolin:
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling. PLoS Comput. Biol. 9(5) (2013)
2000 – 2009
- 2007
- [j1]In Sock Jang, Xiaodong Wang, Vikram Krishnamurthy:
Discrete stochastic approximation algorithms for design of optimal sensor fusion rules. Int. J. Sens. Networks 2(3/4): 211-217 (2007)
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