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Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data

机译：基于集成TCGA数据的块限制拉普拉斯 - 正则低秩表示及其对癌症样本聚类的应用

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Juan Wang; Jin-Xing Liu; Chun-Hou Zheng; Cong-Hai Lu; Ling-Yun Dai; Xiang-Zhen Kong;
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年度 2020
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1. Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data [J] . Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Complexity . 2020,第1期

机译：基于集成TCGA数据的块限制拉普拉斯 - 正则低秩表示及其对癌症样本聚类的应用
2. Block-Constraint Robust Principal Component Analysis and its Application to Integrated Analysis of TCGA Data [J] . Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, NanoBioscience, IEEE Transactions on . 2016,第6期

机译：块约束鲁棒主成分分析及其在TCGA数据综合分析中的应用
3. Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints [J] . Juan Wang, Cong-Hai Lu, Jin-Xing Liu, BMC Bioinformatics . 2019,第S22期

机译：多癌样本通过稀疏和对称约束下的曲线图正则化低秩表示方法聚类
4. Tensor decomposition-based unsupervised feature extraction for integrated analysis of TCGA data on microRNA expression and promoter methylation of genes in ovarian cancer [C] . Y-h. Taguchi, Ka-Lok Ng IEEE International Conference on Bioinformatics and Bioengineering . 2018

机译：基于张量分解的无预测特征提取，用于卵巢癌中基因TCGA数据综合分析及卵巢癌基因的促进剂甲基化
5. Sparse and Low-Rank Representation-Based Methods for Multimodal Clustering and Recognition [D] . Abavisani, Mahdi. 2021

机译：基于稀疏和低秩的多模式聚类和识别的方法
6. Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints [O] . Juan Wang, Cong-Hai Lu, Jin-Xing Liu, 2019

机译：稀疏和对称约束下基于图形正则化低秩表示方法的多肿瘤样本聚类
7. Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function [O] . Conghai Lu, Juan Wang, Jinxing Liu, 2020

机译：基于分数函数的癌症聚类非负面对称低秩表示图规则化方法

Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data

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