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Missing value estimation for microarray data by Bayesian principal component analysis and iterative local least squares

机译：贝叶斯主成分分析和迭代局部最小二乘估计微阵列数据的缺失值

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Published version of an article from the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2013/162938

机译：该期刊的文章的发行版本：工程学中的数学问题。也可以从Hindawi获得：http://dx.doi.org/10.1155/2013/162938

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Shi Fuxi; Zhang Dan; Chen Jun; Karimi Hamid Reza;
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年度 2013
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正文语种 eng
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专利

1. Missing Value Estimation for Microarray Data by Bayesian Principal Component Analysis and Iterative Local Least Squares [J] . Fuxi Shi, Dan Zhang, Jun Chen, Mathematical Problems in Engineering . 2013,第pta3期

机译：贝叶斯主成分分析和迭代局部最小二乘估计微阵列数据的缺失值
2. Missing Value Estimation for Microarray Data by Bayesian Principal Component Analysis and Iterative Local Least Squares [J] . FuxiShi, DanZhang, JunChen, Mathematical Problems in Engineering: Theory, Methods and Applications . 2013,第2期

机译：贝叶斯主成分分析和迭代局部最小二乘估计微阵列数据的缺失值
3. A Bicluster-Based Bayesian Principal Component Analysis Method for Microarray Missing Value Estimation [J] . Meng F., Cai C., Yan H. Biomedical and Health Informatics, IEEE Journal of . 2014,第3期

机译：基于Bicluster的贝叶斯主成分分析方法的微阵列缺失值估计
4. A Modified Local Least Squares-Based Missing Value Estimation Method in Microarray Gene Expression Data [C] . Bose Shilpi, Das Chandra, Gangopadhyay Tamaghna, Second International Conference on Advanced Computing, Networking and Security . 2013

机译：一种改进的基于最小二乘的基因表达数据缺失值估计方法
5. Investigation of probabilistic principal component analysis compared to proper orthogonal decomposition methods for basis extraction and missing data estimation. [D] . Lee, Kyunghoon. 2010

机译：比较概率主成分分析与适当的正交分解方法进行基础提取和数据丢失估计。
6. Extracting Common Mode Errors of Regional GNSS Position Time Series in the Presence of Missing Data by Variational Bayesian Principal Component Analysis [O] . Wudong Li, Weiping Jiang, Zhao Li, 2020

机译：通过变分贝叶斯主成分分析提取缺失数据下区域GNSS位置时间序列共模误差
7. Missing value estimation for microarray data by Bayesian principal component analysis and iterative local least squares [O] . Shi, Fuxi, Zhang, Dan, Chen, Jun, 2013

机译：基于贝叶斯主成分分析和迭代局部最小二乘法的微阵列数据缺失值估计
8. Principal Component Analysis with Missing Data and its Application to ObjectModeling [R] . Shum, H., Ikeuchi, K., Reddy, R. 1993

机译：缺失数据的主成分分析及其在Objectmodeling中的应用

Missing value estimation for microarray data by Bayesian principal component analysis and iterative local least squares

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