基于随机游走图和样本几何与标记信息的混合模型构造直推SVM的癌症转移复发分类
序号 | 标题 | 类型 | 作者 |
---|---|---|---|
1 | 基于稀疏相似矩阵的谱聚类算法识别癌症分子亚型的方法 | 专利 | 史明光;王俊文 |
2 | Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia | 期刊论文 | Shi Mingguang;Xu Guofu |
3 | Integration of Cancer Genomics Data for Tree-Based Dimensionality Reduction and Cancer Outcome Prediction | 期刊论文 | Shi Mingguang;Wang Junwen;Zhang Chenyu |
4 | SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatment | 期刊论文 | Shi Mingguang;He Jianmin |
5 | Spectral clustering using Nystrom approximation for the accurate identification of cancer molecular subtypes | 期刊论文 | Shi Mingguang;Xu Guofu |
6 | ColoFinder: a prognostic 9-gene signature improves prognosis for 871 stage II and III colorectal cancer patients | 期刊论文 | Shi Mingguang;He Jianmin |
7 | 基于近似化的谱聚类算法预测癌症转移复发的方法 | 专利 | 史明光 |