3 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.AP2018
Phylogeny-based tumor subclone identification using a Bayesian feature allocation model
Li Zeng, Joshua L. Warren, Hongyu Zhao
Tumor cells acquire different genetic alterations during the course of evolution in cancer patients. As a result of competition and selection, only a few subgroups of cells with di…
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…