Microarray Gene Expression
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Cluster Rasch models for microarray gene expression data
... the microarray gene expression data are often measured with a great deal of noise, and that the sample size of tissues or cell lines, denoted by n, is usually very small compared to the number of ...
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A Study of Cancer Microarray Gene Expression Profile: Objectives and Approaches
... body. Microarray based gene expression profiling has been emerged as an efficient technique for cancer classification, as well as for diagnosis, prognosis, and treatment ...DNA microarray ...
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Complexity Reduced Tumor Classification System using Microarray Gene Expression Dataset
... Classification method for microarray gene expression has been suggested by A. Castano F. et al. [23], obtained by the light reflection analysis of genomic material. This suggested algorithm was in ...
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A Meta-Analysis of Microarray Gene Expression in Mouse Stem Cells: Redefining Stemness
... independent microarray investigations of mouse ...published gene lists generated from microarray gene expression ...published gene lists obtained from the microarray ...
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Nonlinear gene cluster analysis with labeling for microarray gene expression data in organ development
... of expression levels for thousands of genes, LCM enables identifying critical gene products even if expressed at low copy ...of microarray data obtained from microdissected sites of retinal fissure ...
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Independent component analysis of Alzheimer's DNA microarray gene expression data
... classify gene expres- sions into biologically meaningful groups and relate them to distinct biological ...DNA microarray data analysis for feature extrac- tion, clustering, and the classification of ...
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Microarray Gene Expression Data Classification using a Hybrid Algorithm: MRMRAGA
... of microarray gene expression research, the high dimension of the features with a comparatively small sample size of these data became necessary for the development of a robust and efficient feature ...
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The diagnosis of inherited metabolic diseases by microarray gene expression profiling
... whether microarray gene expression profiling of cultured fibroblasts could identify the metabolic defect in 68 patients with proven or sus- pected inherited metabolic ...defective gene in 16% ...
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Vector Quantization of Microarray Gene Expression Data
... the microarray gene expression data using the three variants of ...of microarray gene expression ...whose expression value was ...genome-wide expression, except ...
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Gene Ontology Analysis of 3D Microarray Gene Expression Data using Hybrid PSO Optimization
... The experimental study is conducted to CDC15 dataset is a microarray gene expression data with this link https://www.yeastgenome.org/goTermFinder. Using this link biological process, molecular ...
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Microarray gene expression profiling and analysis in renal cell carcinoma
... interesting expression patterns reflection on ontol- ogy suggest important functional gene regulation path- ways and also reveal variations in the gene expression levels even within a ...
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Model based cluster analysis of microarray gene expression data
... incubated at 50°C for 25 min for the synthesis of radioac- tively labeled cDNA probes. The Atlas cDNA array mem- branes (Atlas rat 1.2 array, Clontech, CA) were hybridized with the cDNA probes and nonspecific binding ...
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CSIOVDB: a microarray gene expression database of epithelial ovarian cancer subtype
... CSIOVDB is a transcriptomics database of human ovarian cancer comprising 3,431 microarray data from 48 cohorts. Each sample is coupled with histology, molecular subtype and EMT information to enable the user to ...
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Novel approaches to biclustering and gene functional classification in microarray gene expression data
... The contributions in this thesis began on a com putational footing as we applied sim ulated annealing to the bicluster search problem. We saw th a t this heuristic had the ability to carry out more in-depth searches of ...
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Mixture modeling of microarray gene expression data
... One example is the quartet containing HNRPAB, PSMD2, TUBG1, and AHSA1. Each of these genes appears to be a mixture with very small p-value; Figure 1 is the histogram of the 0.3-power transformed expressions of TUBG1. The ...
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Gene Selection for Tumor Classification Using Microarray Gene Expression Data
... significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computational intelligent techniques for classification accuracy on ...
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Classification approaches for microarray gene expression data analysis
... In 1980 the Department of Endocrinology at the University of London utilized micro spotting methods to manufacture clusters for high affectability immunoassay studies including examination of antibodies in the field of ...
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Different normalization strategies for microarray gene expression traits affect the heritability estimation
... on gene expression trait heritability ...in microarray experiments, it is very difficult to determine "which method best approximates 'truth' in a situation in which truth is typically ...
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Consensus Network Inference of Microarray Gene Expression Data
... same microarray dataset, inconsistent predictions occur (De Smet & Marchal, 2010; Maetschke, Madhamshettiwar, Davis, & Ragan, 2014; Marbach et ...a gene pair interaction (edge) predicted from one ...
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Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles
... of microarray technologies is generating a huge amount of data, it is easy to collect hundreds or even thousands microarray gene expression experiment data for one ...high-dimensional ...
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