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Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares

机译：基于交替非负约束最小二乘的非负矩阵分解的癌症分类发现

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Hyunsoo Kim; Haesun Park;
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年度 2013
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1. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis [J] . Hyunsoo Kim, Haesun Park Bioinformatics . 2007 ,第12期

机译：通过交替的非负约束最小二乘矩阵进行稀疏的非负矩阵分解
2. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis [J] . Hyunsoo Kim, Haesun Park Bioinformatics . 2007 ,第12期

机译：通过交替的非负约束最小二乘法对矩阵数据进行稀疏的非负矩阵分解
3. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis [J] . Hyunsoo Kim and Haesun Park Bioinformatics . 2007 ,第12期

机译：通过交替的非负约束最小二乘法对矩阵数据进行稀疏的非负矩阵分解
4. Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares [C] . Hyunsoo Kim, Haesun Park Bioinformatics Research and Applications; Lecture Notes in Bioinformatics; 4463 . 2007

机译：基于交替非负约束最小二乘的非负矩阵分解的癌症分类发现
5. Efficient alternating gradient-type algorithms for the approximate non-negative matrix factorization problem. [D] . Gonzalez, Edward F. 2009

机译：用于近似非负矩阵分解问题的高效交替梯度类型算法。
6. A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square [O] . Yan Zhao, Xing Chen, Jun Yin 2018

机译：基于对称非负矩阵分解和Kronecker正则最小二乘的潜在miRNA-疾病关联识别的新计算方法
7. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis [O] . H. Kim, H. Park 2007

机译：通过交替的非负面矩阵因子进行稀疏的非负矩阵因子用于微阵列数据分析的最小二乘法

Cancer Class Discovery Using Non-negative Matrix Factorization Based on Alternating Non-negativity-Constrained Least Squares

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