Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2007.02.005 ◽

2007 ◽

Vol 52 (1) ◽

pp. 438-451 ◽

Author(s):

Luca Scrucca

Keyword(s):

Dna Microarrays ◽

Gene Selection ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

Class Prediction ◽

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Variable selection for general index models via sliced inverse regression

The Annals of Statistics ◽

10.1214/14-aos1233 ◽

2014 ◽

Vol 42 (5) ◽

pp. 1751-1786 ◽

Author(s):

Bo Jiang ◽

Jun S. Liu

Keyword(s):

Variable Selection ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

General Index ◽

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A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction

2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology ◽

10.1109/cibcb.2006.330965 ◽

2006 ◽

Author(s):

Yi Shi ◽

Zhipeng Cai ◽

Lizhe Xu ◽

Wei Ren ◽

Randy Goebel ◽

...

Keyword(s):

Gene Selection ◽

Class Prediction ◽

Microarray Sample ◽

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Feature gene selection for Chinese hamster classification based on support vector machine

Journal of Computer Applications ◽

10.3724/sp.j.1087.2011.00584 ◽

2011 ◽

Vol 31 (2) ◽

pp. 584-586

Author(s):

Jun-li YANG ◽

Tian-fu LIU

Keyword(s):

Support Vector Machine ◽

Gene Selection ◽

Chinese Hamster ◽

Support Vector ◽

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A new sliced inverse regression method for multivariate response

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2014.03.006 ◽

2014 ◽

Vol 77 ◽

pp. 285-299 ◽

Author(s):

R. Coudret ◽

S. Girard ◽

J. Saracco

Keyword(s):

Regression Method ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

Multivariate Response

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High-Dimensional Elliptical Sliced Inverse Regression in non-Gaussian Distributions

Journal of Business and Economic Statistics ◽

10.1080/07350015.2021.1910041 ◽

2021 ◽

pp. 1-39

Author(s):

Xin Chen ◽

Jia Zhang ◽

Wang Zhou

Keyword(s):

Sliced Inverse Regression ◽

High Dimensional ◽

Inverse Regression ◽

Gaussian Distributions ◽

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Circadian Gene Selection for Time-to-event Phenotype by Integrating CNV and RNAseq Data

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2021.104276 ◽

2021 ◽

pp. 104276

Author(s):

Arnab Kumar Maity ◽

Sang Chan Lee ◽

Linhan Hu ◽

Deborah Bell-pederson ◽

Bani K. Mallick ◽

...

Keyword(s):

Gene Selection ◽

Circadian Gene ◽

Time To Event ◽

Rnaseq Data ◽

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Gene Selection for Cancer Classification using a New Hybrid of Binary Black Hole Algorithm

2020 28th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu49456.2020.9302351 ◽

2020 ◽

Author(s):

Elnaz Pashaei ◽

Elham Pashaei

Keyword(s):

Gene Selection ◽

Cancer Classification ◽

Binary Black Hole ◽

Selection For ◽

Black Hole Algorithm

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Slope reliability analysis in spatially variable soils using sliced inverse regression-based multivariate adaptive regression spline

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-021-02353-9 ◽

2021 ◽

Author(s):

Zhi-Ping Deng ◽

Min Pan ◽

Jing-Tai Niu ◽

Shui-Hua Jiang ◽

Wu-Wen Qian

Keyword(s):

Reliability Analysis ◽

Multivariate Adaptive Regression Spline ◽

Sliced Inverse Regression ◽

Inverse Regression ◽

Regression Spline ◽

Adaptive Regression

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Gene selection for cancer types classification using novel hybrid metaheuristics approach

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2020.100661 ◽

2020 ◽

Vol 54 ◽

pp. 100661 ◽

Author(s):

Alok Kumar Shukla ◽

Pradeep Singh ◽

Manu Vardhan

Keyword(s):

Gene Selection ◽

Hybrid Metaheuristics ◽

Cancer Types ◽

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Sliced Inverse Regression for Dimension Reduction: Comment

Journal of the American Statistical Association ◽

10.2307/2290564 ◽

1991 ◽

Vol 86 (414) ◽

pp. 328 ◽

Author(s):

R. Dennis Cook ◽

Sanford Weisberg

Keyword(s):

Dimension Reduction ◽

Sliced Inverse Regression ◽

Inverse Regression

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