This contains the simulation data sets and codes to perform all the analyses in the paper: Wong KY, Fan C, Tanioka M, Parker JS, Nobel AB, Zeng D, Lin DY, Perou CM. I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms. 2019. Minor errors of the previous release have been corrected
Genome-wide association studies are usually accompanied by imputation techniques to complement genom...
We thank Aaron Ragsdale, Dominic Nelson, and Simon Gravel for identifying a coding error in the setu...
This repository contains supplementary material associated with Zitovsky and Love 2019. If any mater...
This contains the simulation data sets and codes to perform all the analyses in the paper: Wong KY, ...
I-Boost is a statistical boosting method that integrates multiple types of high-dimensional genomics...
This data set contains the clinical and genomics data for 1,420 subjects analyzed in the paper: Wong...
We propose a statistical boosting method, termed I-Boost, to integrate multiple types of high-dimens...
This is a package of codes which were used in the paper "Murine genetic models of obesity: type I er...
This dataset contains simulation data in the following paper: Jicai Jiang et al., Joint prediction o...
Simulated data used in the driverMAPS paper: this dataset contains the simulated mutation data use...
Simulated data used in the driverMAPS paper: Zhao, S. et al. Model-based analysis of positive sele...
The publishers would like to apologize for an error in the references. Reference 14 (Gangal et al., ...
<p>Output used to produce the tables and figures in the manuscript:</p> <p>Feng and Shaw, et al. (2...
In biomedical research, boosting-based regression approaches have gained much attention in the last ...
All datasets and code used to generate figures in manuscript submitted for peer review: "Quantifying...
Genome-wide association studies are usually accompanied by imputation techniques to complement genom...
We thank Aaron Ragsdale, Dominic Nelson, and Simon Gravel for identifying a coding error in the setu...
This repository contains supplementary material associated with Zitovsky and Love 2019. If any mater...
This contains the simulation data sets and codes to perform all the analyses in the paper: Wong KY, ...
I-Boost is a statistical boosting method that integrates multiple types of high-dimensional genomics...
This data set contains the clinical and genomics data for 1,420 subjects analyzed in the paper: Wong...
We propose a statistical boosting method, termed I-Boost, to integrate multiple types of high-dimens...
This is a package of codes which were used in the paper "Murine genetic models of obesity: type I er...
This dataset contains simulation data in the following paper: Jicai Jiang et al., Joint prediction o...
Simulated data used in the driverMAPS paper: this dataset contains the simulated mutation data use...
Simulated data used in the driverMAPS paper: Zhao, S. et al. Model-based analysis of positive sele...
The publishers would like to apologize for an error in the references. Reference 14 (Gangal et al., ...
<p>Output used to produce the tables and figures in the manuscript:</p> <p>Feng and Shaw, et al. (2...
In biomedical research, boosting-based regression approaches have gained much attention in the last ...
All datasets and code used to generate figures in manuscript submitted for peer review: "Quantifying...
Genome-wide association studies are usually accompanied by imputation techniques to complement genom...
We thank Aaron Ragsdale, Dominic Nelson, and Simon Gravel for identifying a coding error in the setu...
This repository contains supplementary material associated with Zitovsky and Love 2019. If any mater...
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