2 papers
stat.ML2020
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data
Li Zeng, Zhaolong Yu, Yiliang Zhang +1
Predictive modeling based on genomic data has gained popularity in biomedical research and clinical practice by allowing researchers and clinicians to identify biomarkers and tailo…
stat.ML2018
A pathway-based kernel boosting method for sample classification using genomic data
Li Zeng, Zhaolong Yu, Hongyu Zhao
The analysis of cancer genomic data has long suffered "the curse of dimensionality". Sample sizes for most cancer genomic studies are a few hundreds at most while there are tens of…