Results 21 to 30 of about 557,537 (198)
PLS dimension reduction for classification of microarray data [PDF]
, 2004 PLS dimension reduction is known to give good prediction accuracy in the context of classification with high-dimensional microarray data. In this paper, PLS is compared with some of the best state-of-the-art classification methods.
Boulesteix, Anne-Laure
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The Application of Bi-clustering and Bayesian Network for Gene Sets Network Construction in Breast Cancer Microarray Data [PDF]
Middle East Journal of Cancer, 2022 Background: Breast cancer is one of the most prevalent types of cancer in Iranian women and the second cause of death in women worldwide. Gene mutations are the key determinants of the disease; therefore, the genetic study of this disease is of paramount
Ahmad Sohrabi +2 more
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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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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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The latent process decomposition of cDNA microarray data sets [PDF]
, 2005 We present a new computational technique (a software implementation, data sets, and supplementary information are available at http://www.enm.bris.ac.uk/lpd/) which enables the probabilistic analysis of cDNA microarray data and we demonstrate its ...
, +4 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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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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Improved processing of microarray data using image reconstruction techniques [PDF]
, 2003 Spotted cDNA microarray data analysis suffers from various problems such as noise from a variety of sources, missing data, inconsistency, and, of course, the presence of outliers.
Liu, X. +2 more
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