In Sock Jang

Publication Activity (10 Years)

Years Active: 2007-2015
Publications (10 Years): 1

Top Topics

Survival Analysis

Computationally Efficient

Sparse Regression

Top Venues

Pacific Symposium on Biocomputing

PLoS Comput. Biol.

Publications

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)
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)
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)
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)
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) (2007)