Orthogonal projection weights in dimension reduction based on Partial Least Squares

International Journal of Computational Intelligence in Bioinformatics and Systems Biology ◽

10.1504/ijcibsb.2009.024065 ◽

2009 ◽

Vol 1 (1) ◽

pp. 100 ◽

Author(s):

Xue Qiang Zeng ◽

Guo Zheng Li ◽

Mary Qu Yang ◽

Geng Feng Wu ◽

Jack Y. Yang

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Orthogonal Projection

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Dimension Reduction and Regularization Combined with Partial Least Squares in High Dimensional Imaging Genetics Studies

Springer Proceedings in Mathematics & Statistics - New Perspectives in Partial Least Squares and Related Methods ◽

10.1007/978-1-4614-8283-3_9 ◽

2013 ◽

pp. 147-158 ◽

Author(s):

Edith Le Floch ◽

Laura Trinchera ◽

Vincent Guillemot ◽

Arthur Tenenhaus ◽

Jean-Baptiste Poline ◽

...

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Imaging Genetics ◽

High Dimensional

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Partial least squares dimension reduction for microarray gene expression data with a censored response

Mathematical Biosciences ◽

10.1016/j.mbs.2004.10.007 ◽

2005 ◽

Vol 193 (1) ◽

pp. 119-137 ◽

Author(s):

Danh V. Nguyen

Keyword(s):

Gene Expression ◽

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene ◽

Censored Response

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Dimension Reduction for p53 Protein Recognition by Using Incremental Partial Least Squares

IEEE Transactions on NanoBioscience ◽

10.1109/tnb.2014.2319234 ◽

2014 ◽

Vol 13 (2) ◽

pp. 73-79

Author(s):

Xue-Qiang Zeng ◽

Guo-Zheng Li

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

P53 Protein ◽

Protein Recognition

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Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-015-1395-9 ◽

2016 ◽

Vol 53 (5) ◽

pp. 935-952 ◽

Author(s):

Mohamed Amine Bouhlel ◽

Nathalie Bartoli ◽

Abdelkader Otsmane ◽

Joseph Morlier

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

High Dimensional ◽

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Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) ◽

10.1109/isbi.2012.6235857 ◽

2012 ◽

Author(s):

E. Le Floch ◽

P. Pinel ◽

A. Tenenhaus ◽

L. Trinchera ◽

J. B. Poline ◽

...

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Imaging Genetics ◽

High Dimensional ◽

Comparison Study

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On the Number of Partial Least Squares Components in Dimension Reduction for Tumor Classification

Emerging Technologies in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77018-3_22 ◽

2007 ◽

pp. 206-217 ◽

Author(s):

Xue-Qiang Zeng ◽

Guo-Zheng Li ◽

Geng-Feng Wu ◽

Hua-Xing Zou

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Tumor Classification

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Irrelevant gene elimination for Partial Least Squares based Dimension Reduction by using feature probes

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2009.023886 ◽

2009 ◽

Vol 3 (1) ◽

pp. 85 ◽

Author(s):

Xue Qiang Zeng ◽

Guo Zheng Li ◽

Geng Feng Wu ◽

Jack Y. Yang ◽

Mary Qu Yang

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares

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Sparse partial least squares regression for simultaneous dimension reduction and variable selection

Journal of the Royal Statistical Society Series B (Statistical Methodology) ◽

10.1111/j.1467-9868.2009.00723.x ◽

2010 ◽

Vol 72 (1) ◽

pp. 3-25 ◽

Author(s):

Hyonho Chun ◽

SÃ¼ndÃ¼z KeleÅŸ

Keyword(s):

Variable Selection ◽

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Least Squares Regression

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The equivalence of partial least squares and principal component regression in the sufficient dimension reduction framework

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2015.11.003 ◽

2016 ◽

Vol 150 ◽

pp. 58-64 ◽

Author(s):

You-Wu Lin ◽

Bai-Chuan Deng ◽

Qing-Song Xu ◽

Yong-Huan Yun ◽

Yi-Zeng Liang

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Principal Component Regression ◽

Principal Component ◽

Sufficient Dimension Reduction

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Iterative Partial Least Squares with Right-Censored Data Analysis: A Comparison to Other Dimension Reduction Techniques

10.1111/j.0006-341x.2005.040304.x ◽

2005 ◽

Vol 61 (1) ◽

pp. 17-24 ◽

Author(s):

Jie Huang ◽

David Harrington

Keyword(s):

Data Analysis ◽

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Censored Data ◽

Right Censored Data ◽

Reduction Techniques ◽

Dimension Reduction Techniques

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