dna microarray data
A biclustering algorithm based on a Bicluster Enumeration Tree: application to DNA microarray data
... case, biclustering is known to be NP-hard [1]. Conse- quently, most of the algorithms used to discover biclusters are based on heuristics to explore partially the combinato- rial search space. The existing algorithms for ...
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DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach
... in DNA microarray data analysis, collaborative filtering, market research, information retrieval, text mining, electoral trends, exchange analysis, and so ...with DNA microarray ...
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Normalizing DNA Microarray Data
... of DNA array studies have demonstrated that large-scale gene expression profiles are valuable in both cancer diagnosis and prognosis and may be used for cancer classification (Alizadeh et ...These ...
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DNA Microarray Data Analysis and Mining: Affymetrix Software Package and In-House Complementary Packages
... signal density higher than the array scanned for a shorter time. It is obvious that incorrect results will be obtained if the two are compared without normalization. Depending on the experimental design, there are ...
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Normalization and analysis of DNA microarray data by self consistency and local regression
... Background: With the advent of DNA hybridization microarrays comes the remarkable ability, in principle, to simultaneously monitor the expression levels of thousands of genes. The quantiative comparison of two or ...
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Analyzing Gene Expressions in Saccharomyces Cerevisiae using Hierarchical Clustering of DNA Microarray Data
... a data intensive field of research and development. DNA microarray used to better understand form of saccharomyces cerevisiae disease such as ...cancer. Microarray allows us to diagnose and ...
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LEAF: Leave-one-out Forward Selection Method for Gene Selection in DNA Microarray Data
... Abstract —Preventing, diagnosing, and treating disease is greatly facilitated by the availability of biomarkers. Recent improvements in bioinformatics technology have facilitated large-scale screening of DNA ...
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Identification of candidate genes for congenital splay leg in piglets by alternative analysis of DNA microarray data
... disease. Data analysis with standard algorithms revealed no significant differences between both ...the microarray analysis could be confirmed and demonstrate the validity of the alternative approach to ...
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Genetic lineages of undifferentiated-type gastric carcinomas analysed by unsupervised clustering of genomic DNA microarray data
... Our lineage analysis using chromosomal comparative genomic hybridization (CGH) was based on distinctive morphological lineage markers. A layered structure (LS) represents an incipient phase of SIG development [12] and is ...
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Review on Feature Selection Techniques of DNA Microarray Data
... Biogeography based optimization (BBO) is an optimization algorithm introduced by Dan Simon [14]. The algorithm works on the basis of migration of species between different habitats and the process of mutation. BBO in ...
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Splicing Factor RBM20 Regulates Transcriptional Network of Titin Associated and Calcium Handling Genes in The Heart
... the DNA microarray ...These data suggest that calcium releasing signaling could be impaired, leading to calcium leaking, while calcium ATPase pump system was physiologically functional and could ...
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DNA microarray integromics analysis platform
... specialized data analysis methods. This article describes the DNA Microarray Integromics Analysis Platform, a unique web application that focuses on computational integration and analysis of “ ...
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Metasample Based Robust Sparse Representation for Tumor Classification
... In this paper, using Sparse Coding and Robust theory, we proposed a Metasample-Based Robust Sparse Represen- tation Classifier (MRSRC). Comparing MRSRC with SRC and SVM on various types of DNA microarray ...
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Within Day Energy Balance and the Relationship to Injury Rates in Pre Professional Ballet Dancers
... The DNA microarray biotechnology simultaneously monitors the expression of thousands of genes and aims to identify genes that are differently expressed under different ...the DNA microarray ...
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Independent component analysis of Alzheimer's DNA microarray gene expression data
... in DNA microarray data analysis for feature extrac- tion, clustering, and the classification of gene regulation ...for microarray data are about yeast cells' cycle [6-8] and cancer ...
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Binding and entry of peste des petits ruminants virus into caprine endometrial epithelial cells profoundly affect early cellular gene expression
... To our knowledge, this is the first broad analysis of the initial transcriptional responses to PPRV in caprine endometrial epithelial cells [11, 18, 33]. To ensure the accurate identification of the cellular genes that ...
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Data models for exploratory analysis of heterogeneous microarray data
... Figure 4 shows the result of the first test using the leukemia dataset (10K genes, 120 samples). In the test the original dataset is split into two 60 column tables and then compared. If the model really captures the ...
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Rapid Virological Diagnosis of Central Nervous System Infections by Use of a Multiplex Reverse Transcription PCR DNA Microarray
... RT-PCR DNA microarray de- tected 11 (37%) HHV-7 and HEV mixed infections among the 30 pediatric aseptic meningitis cases initially related to ...HHV-7 DNA was from actively replicating virus and not ...
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DNA methylation epigenotypes in breast cancer molecular subtypes
... low DNA methylation fre- quency in normal tissue), the frequency of hyper- methylation in tumor tissue ranged from 28% ( DBC1 , deleted in bladder cancer 1) to 75% ( JAK3 , Janus kinase 3), (see Table S4 in ...
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DNA Microarray Analysis of Chimpanzee Liver during Acute Resolving Hepatitis C Virus Infection
... by microarray analysis, in the context of increases in the other two IFN response pathways ...these data using quantitative, real-time (TaqMan) ...the microarray expression data for two other ...
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