Results 21 to 30 of about 568,857 (297)
Thoracic Cancer, 2019 Background Although cigarette smoking is considered one of the key risk factors for lung cancer, 15% of male patients and 53% of female patients with lung cancer are non‐smokers. Metabolic changes are critical features of cancer.
Rong Sun +6 more
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Information visualization for DNA microarray data analysis: A critical review [PDF]
, 2008 Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression patterns of thousands of genes simultaneously.
Kuljis, J, Liu, X, Zhang, L
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Genetics Selection Evolution, 2007 A large variety of methods has been proposed in the literature for microarray data analysis. The aim of this paper was to present techniques used by the EADGENE (European Animal Disease Genomics Network of Excellence) WP1.4 participants for data quality ...
Sørensen Peter +37 more
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B mu G@Sbase - a microarray database and analysis tool [PDF]
, 2002 The manufacture and use of a whole-genome microarray is a complex process and it is essential that all data surrounding the process is stored, is accessible and can be easily associated with the data generated following hybridization and scanning.
Hinds, J, Witney, AA
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Comparability of Microarray Data between Amplified and Non Amplified RNA in Colorectal Carcinoma [PDF]
, 2009 Microarray analysis reaches increasing popularity during the investigation of prognostic gene clusters in oncology. The standardisation of technical procedures will be essential to compare various datasets produced by different research groups.
Brueckl, WM +10 more
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Late Acceptance Hill Climbing Based Social Ski Driver Algorithm for Feature Selection
IEEE Access, 2020 Feature selection (FS) is mainly used as a pre-processing tool to reduce dimensionality by eliminating irrelevant or redundant features to be used for a machine learning or data mining algorithm.
Bitanu Chatterjee +5 more
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Analysis of biclusters with applications to gene expression data [PDF]
Discrete Mathematics & Theoretical Computer Science, 2005 For a given matrix of size $n \times m$ over a finite alphabet $\mathcal{A}$, a bicluster is a submatrix composed of selected columns and rows satisfying a certain property.
Gahyun Park, Wojciech Szpankowski
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A Microarray Data Pre-processing Method for Cancer Classification
JOIV: International Journal on Informatics Visualization, 2022 The development of microarray technology has led to significant improvements and research in various fields. With the help of machine learning techniques and statistical methods, it is now possible to organize, analyze, and interpret large amounts of ...
Tay Xin Hui +5 more
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Effective affinities in microarray data
, 2006 In the past couple of years several studies have shown that hybridization in Affymetrix DNA microarrays can be rather well understood on the basis of simple models of physical chemistry.
+14 more
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Coupled Two-Way Clustering Analysis of Gene Microarray Data [PDF]
, 2000 We present a novel coupled two-way clustering approach to gene microarray data analysis. The main idea is to identify subsets of the genes and samples, such that when one of these is used to cluster the other, stable and significant partitions emerge ...
Alizadeh +12 more
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