High-dimensional proportionality test of two covariance matrices and its application to gene expression data

Statistical Theory and Related Fields ◽

10.1080/24754269.2021.1984373 ◽

2021 ◽

pp. 1-14

Author(s):

Long Feng ◽

Xiaoxu Zhang ◽

Binghui Liu

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Covariance Matrices ◽

High Dimensional ◽

Expression Data ◽

Proportionality Test

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From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data

BMC Systems Biology ◽

10.1186/1752-0509-1-37 ◽

2007 ◽

Vol 1 (1) ◽

Author(s):

Rainer Opgen-Rhein ◽

Korbinian Strimmer

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Learning Algorithm ◽

High Dimensional ◽

Expression Data ◽

Plant Gene Expression ◽

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Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps

2008 International Conference on BioMedical Engineering and Informatics ◽

10.1109/bmei.2008.256 ◽

2008 ◽

Author(s):

Rui Xu ◽

Steven Damelin ◽

Boaz Nadler ◽

Donald C. Wunsch II

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

High Dimensional ◽

Expression Data ◽

Diffusion Maps ◽

Feature Filtering ◽

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INCORPORATING FEATURE RANKING AND EVOLUTIONARY METHODS FOR THE CLASSIFICATION OF HIGH-DIMENSIONAL DNA MICROARRAY GENE EXPRESSION DATA

Australasian Medical Journal ◽

10.21767/amj.2013.1641 ◽

2013 ◽

Vol 06 (05) ◽

Author(s):

Mani Abedini ◽

Michael Kirley ◽

Raymond Chiong

Keyword(s):

Gene Expression ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

High Dimensional ◽

Feature Ranking ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Incorporating feature ranking and evolutionary methods for the classification of high-dimensional DNA microarray gene expression data

Australasian Medical Journal ◽

10.4066/amj.2013.1641 ◽

2013 ◽

Vol 6 (5) ◽

pp. 272-279 ◽

Author(s):

Mani Abedini

Keyword(s):

Gene Expression ◽

Dna Microarray ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

High Dimensional ◽

Feature Ranking ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Finding module-based gene networks with state-space models - Mining high-dimensional and short time-course gene expression data

IEEE Signal Processing Magazine ◽

10.1109/msp.2007.273053 ◽

2007 ◽

Vol 24 (1) ◽

pp. 37-46 ◽

Author(s):

R. Yamaguchi ◽

R. Yoshida ◽

S. Imoto ◽

T. Higuchi ◽

S. Miyano

Keyword(s):

Gene Expression ◽

State Space ◽

Gene Expression Data ◽

Gene Networks ◽

Time Course ◽

State Space Models ◽

High Dimensional ◽

Expression Data ◽

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SVM margin-based feature elimination applied to high-dimensional microarray gene expression data

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685462 ◽

2008 ◽

Author(s):

Yanxin Zhang ◽

Yaman Aksu ◽

George Kesidis ◽

David J. Miller ◽

Yue Wang

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

High Dimensional ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene

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Comparison of the Cluster Validation Methods for High-dimensional (Gene Expression) Data

Korean Journal of Applied Statistics ◽

10.5351/kjas.2007.20.1.167 ◽

2007 ◽

Vol 20 (1) ◽

pp. 167-181 ◽

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

High Dimensional ◽

Expression Data ◽

Cluster Validation ◽

Validation Methods

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High-dimensional pseudo-logistic regression and classification with applications to gene expression data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2006.12.033 ◽

2007 ◽

Vol 52 (1) ◽

pp. 452-470 ◽

Author(s):

Chunming Zhang ◽

Haoda Fu ◽

Yuan Jiang ◽

Tao Yu

Keyword(s):

Gene Expression ◽

Logistic Regression ◽

Gene Expression Data ◽

High Dimensional ◽

Expression Data

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High-Dimensional Visualization Support for Data Mining Gene Expression Data

10.1201/9781420038859-9 ◽

2001 ◽

pp. 89-128

Keyword(s):

Gene Expression ◽

Data Mining ◽

Gene Expression Data ◽

High Dimensional ◽

Expression Data

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Usage of Topic Modeling Method for High Dimensional Gene Expression Data Analysis

10.1109/icitr54349.2021.9657380 ◽

2021 ◽

Author(s):

S.P.B.M Senadheera ◽

A.R. Weerasinghe

Keyword(s):

Gene Expression ◽

Data Analysis ◽

Gene Expression Data ◽

Topic Modeling ◽

Modeling Method ◽

High Dimensional ◽

Expression Data ◽

Gene Expression Data Analysis

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