[PDF] Top 20 Model based cluster analysis of microarray gene expression data
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Model based cluster analysis of microarray gene expression data
... mRNA analysis of 1,176 genes in middle-ear mucosa of rats with and without subacute pneumococcal middle-ear ...observed gene-expression levels so that they are more likely to have a normal ... See full document
8
Mixture modeling of microarray gene expression data
... a gene expression variable appeared to be a mix- ture, we fit a mixture of two Gaussian components with equal variance using MCLUST [13] and classified each subject into the component with the largest ... See full document
5
Gene set analysis methods applied to chicken microarray expression data
... tests based on individual genes the median value of the t-statistics from all its corresponding oligonucle- otides was ...the gene in the gene set ...between gene set test based on ... See full document
6
Independent component analysis of Alzheimer's DNA microarray gene expression data
... original data (where the gene expression measurements are the variables and the samples are the observations) in Figure ...original data, and the remaining PCs with lower variance that ... See full document
14
Are females more variable than males in gene expression? Meta-analysis of microarray datasets
... for analysis a total of 293 datasets (103 for human, 190 for mouse) obtained from the GEO database ...report gene expression levels in a variety of tissues (Additional file 2: Figure S1) based ... See full document
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Vector Quantization of Microarray Gene Expression Data
... The data mining methods are used to find human-interpretable patterns that describe the data, for example, clustering, associations and ...for analysis of gene expression data ... See full document
5
Efficient Clustering for Gene Expression Data
... DNA microarray technology. In the process of mining gene expressions under multi-conditions microarray experiments, gene clustering is relatively a tough task, because of the features of the ... See full document
6
Survival Analysis of Microarray Data With Microarray Measurement Subject to Measurement Error
... the microarray features of each patient, we can have a patient survival prediction model that is biologically ...meaningful. Microarray experiments generate large data sets, to which many ... See full document
130
A Link-Based Cluster Ensemble Approach For Improved Gene Expression Data Analysis
... improved cluster quality, as well as reducedelapsed ...different data sets.For each run different data sets are generated byMATLAB and entered, to observe the number ...same data set. Foreach ... See full document
6
A time course-dependent metastatic gene expression signature predicts outcome in human metastatic melanomas
... Gene expression profiling has been used to establish molecular signatures for classifying the subtypes of pri- mary tumors and predicting the clinical outcome of multiple cancers including malignant ... See full document
7
The C Proteins of Human Parainfluenza Virus Type 1 (HPIV1) Control the Transcription of a Broad Array of Cellular Genes That Would Otherwise Respond to HPIV1 Infection
... comprehensive analysis of the responses of a human respiratory epithelial cell line to HPIV1 infection and to IFN-  ...treatment. Microarray analyses have previously been applied to study infection by ... See full document
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Gene Ontology Analysis of 3D Microarray Gene Expression Data using Hybrid PSO Optimization
... known data mining technique for analysis of 3D gene expression data ...of Gene (G), subset of Sample (S), and over a subset of Time point ...3D gene expression ... See full document
7
Clustering of Mixed Data Types with Application to Toxicogenomics
... the data was to a) identify biomarkers related to histopathological changes following exposure to a toxicant or b) ascertain biological processes and pathways related to the histopathology ...for data ... See full document
233
Microarray Analysis and Gene Expression : A simplified Review
... groups based on statistical calculations and ...in microarray analysis is to interpret these groups in terms of biological functions [26, ...differential analysis is to assess a significant ... See full document
6
Cluster Structure Inference Based on Clustering Stability with Applications to Microarray Data Analysis
... We investigate the performances of the algorithm by using artificially generated data for which the true state of the na- ture is known. The experiments are intended for studying the influence of the HC algorithm ... See full document
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A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data
... erative model X = AS(Equation 4), where S is a k × N ...most microarray data are non-gaussian[1], Based on Central Limited Theorem, we can conclude that the dis- tributions of regulatory ... See full document
6
Microarray data analysis: From hypotheses to conclusions using gene expression data
... of microarray data analysis is to identify genes that are regulated differ- ently for a priori defined biologically relevant groups of ...tial expression, which enables us to rank the genes, ... See full document
13
GENE EXPRESSION DATA ANALYSIS USING DATA MINING ALGORITHMS FOR COLON CANCER
... of Data mining is used in various medical applications like tumor classification, protein structure prediction, gene classification, cancer classification based on microarray data, ... See full document
7
A temporal precedence based clustering method for gene expression microarray data
... the Gene Ontology (GO) database ...the gene ontology (GO) inter- face provided at the Arabidopsis repository at TAIR ...a gene performing the mentioned biological ...another gene annotation ... See full document
26
Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cells
... the data sets were identified from the individual lists of pathways enriched in SLE patients compared to healthy controls (one for each data set) (Figure 1, step ...SLE data sets and comprised a ... See full document
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