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- Regularized Analysis of Large p, Small n Data (5)
- Cancer study (4)
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- Bioinformatics/Cancer Genomics (1)
- Cancer genomics; Integrative analysis; Microarray (1)
- Gene-environment interaction; Cancer Prognosis; Marker selection; Penalization. (1)
- Gene-environment interactions; Robustness; Partially linear varying coefficient model; Penalized selection (1)
- Genetic regulation (1)
- High-dimensional data (1)
- Illness conditions; Medical expenditure; Household consumption; Western China (1)
- Integrative analysis; Cancer prognosis; Gene network; Penalized selection; Laplacian shrinkage (1)
- Pathway analysis; Breast cancer prognosis; Regularized estimation. (1)
- Regularized estimation (1)
Articles 31 - 37 of 37
Full-Text Articles in Life Sciences
Reading: Simulate Multivariate Distribution, Shuangge Ma
Reading: Simulate Multivariate Distribution, Shuangge Ma
Shuangge Ma
No abstract provided.
Computer Intensive Methods Lecture 4, Shuangge Ma
Computer Intensive Methods Lecture 3 (Lab 1), Shuangge Ma
Computer Intensive Methods Lecture 3 (Lab 1), Shuangge Ma
Shuangge Ma
No abstract provided.
Computer Intensive Methods Lecture 2, Shuangge Ma
A Tale Of Two Streets: Incorporating Grouping Structure In High Dimensional Data Mining, Shuangge Ma
A Tale Of Two Streets: Incorporating Grouping Structure In High Dimensional Data Mining, Shuangge Ma
Shuangge Ma
No abstract provided.
Computer Intensive Methods Lecture 1, Shuangge Ma
Detection Of Gene Pathways With Predictive Power For Breast Cancer Prognosis, Shuangge Ma
Detection Of Gene Pathways With Predictive Power For Breast Cancer Prognosis, Shuangge Ma
Shuangge Ma
Prognosis of breast cancer is of great scientific and practical interest. Biomedical studies suggest that clinical and environmental risk factors do not have satisfactory predictive power for prognosis. Multiple gene profiling studies have been conducted, searching for predictive genomic measurements. Genes have the inherent pathway structure, where pathways are composed of multiple genes with similar biological functions. The goal of this study is to identify gene pathways with predictive power for breast cancer prognosis. Although multiple pathway analysis methods are available, they have certain drawbacks and are not suitable for the proposed analysis. In this article, we develop a new …