Feature dimensionality reduction: a review
W Jia, M Sun, J Lian, S Hou - Complex & Intelligent Systems, 2022 - Springer
As basic research, it has also received increasing attention from people that the “curse of
dimensionality” will lead to increase the cost of data storage and computing; it also …
dimensionality” will lead to increase the cost of data storage and computing; it also …
Gene expression profile of papillary thyroid cancer: sources of variability and diagnostic implications
B Jarzab, M Wiench, K Fujarewicz, K Simek, M Jarzab… - Cancer research, 2005 - AACR
The study looked for an optimal set of genes differentiating between papillary thyroid cancer
(PTC) and normal thyroid tissue and assessed the sources of variability in gene expression …
(PTC) and normal thyroid tissue and assessed the sources of variability in gene expression …
A two-stage gene selection scheme utilizing MRMR filter and GA wrapper
A El Akadi, A Amine, A El Ouardighi… - … and Information Systems, 2011 - Springer
Gene expression data usually contain a large number of genes, but a small number of
samples. Feature selection for gene expression data aims at finding a set of genes that best …
samples. Feature selection for gene expression data aims at finding a set of genes that best …
A survey on feature extraction for pattern recognition
S Ding, H Zhu, W Jia, C Su - Artificial Intelligence Review, 2012 - Springer
In research of pattern recognition, we always want to achieve the correct classification rate
according to the characteristics required. Feature extraction greatly affects the design and …
according to the characteristics required. Feature extraction greatly affects the design and …
Analysis of Alzheimer's disease severity across brain regions by topological analysis of gene co-expression networks
M Ray, W Zhang - BMC systems biology, 2010 - Springer
Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder
involving variations in the transcriptome of many genes. AD does not affect all brain regions …
involving variations in the transcriptome of many genes. AD does not affect all brain regions …
The class of microarray games and the relevance index for genes
Nowadays, microarray technology is available to generate a huge amount of information on
gene expression. This information must be statistically processed and analyzed, in …
gene expression. This information must be statistically processed and analyzed, in …
Perspectives and limitations of microarray-based gene expression profiling of thyroid tumors
M Eszlinger, K Krohn, A Kukulska, B Jarzab… - Endocrine …, 2007 - academic.oup.com
Microarray technology has become a powerful tool to analyze the gene expression of tens of
thousands of genes simultaneously. Microarray-based gene expression profiles are …
thousands of genes simultaneously. Microarray-based gene expression profiles are …
Using SVD and SVM methods for selection, classification, clustering and modeling of DNA microarray data
K Simek, K Fujarewicz, A Świerniak, M Kimmel… - … Applications of Artificial …, 2004 - Elsevier
DNA microarray technology is the latest and the most advanced tool for parallel measuring
of the activity and interactions of thousands of genes. This modern technology promises new …
of the activity and interactions of thousands of genes. This modern technology promises new …
Meta-and reanalysis of gene expression profiles of hot and cold thyroid nodules and papillary thyroid carcinoma for gene groups
M Eszlinger, M Wiench, B Jarzab… - The Journal of …, 2006 - academic.oup.com
Context: There are an increasing number of studies analyzing gene expression profiles in
various benign and malignant thyroid tumors. This creates the opportunity to validate results …
various benign and malignant thyroid tumors. This creates the opportunity to validate results …