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[PDF] Top 20 A variance component method for integrated pathway analysis of gene expression data

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A variance component method for integrated pathway analysis of gene expression data

A variance component method for integrated pathway analysis of gene expression data

... genetic data and should not be associated with any ...additional variance component and applied a likelihood ratio test (LRT) to determine if the positive control pathway ex- plains ... See full document

6

Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data

Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data

... For pathway association analysis, we first obtained pathway activity profiles from gene expression (or methylation) data by adapting the method used in [23] and ... See full document

13

SEURAT: Visual analytics for the integrated analysis of microarray data

SEURAT: Visual analytics for the integrated analysis of microarray data

... the gene annotations and clinical data. The gene expression matrix is visualized by a heatmap, where the gene expression levels are represented by col- ...the gene ... See full document

6

Integrated omics and gene expression analysis identifies the loss of metabolite–metabolite correlations in small cell lung cancer

Integrated omics and gene expression analysis identifies the loss of metabolite–metabolite correlations in small cell lung cancer

... Multivariate analysis using PLS-DA showed the distinct separation of SCLCC from NSCLCC and the controls (Figure ...cluster analysis and thermal map analysis (Figure ...these data suggested ... See full document

11

A variance component based gene burden test

A variance component based gene burden test

... novel variance component approach for the analysis of next-generation sequencing ...Our method is based on the detection of the proportion of the trait phenotypic variance that can be ... See full document

5

BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data

BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data

... from data, relying strictly on computational ...term-for-term analysis [24], which com- putes the functional enrichment of the genes in the biclus- ters by identifying the overrepresented GO ... See full document

11

Trans-species Transcriptomic Comparison of in vitro and in vivo Neural Cells

Trans-species Transcriptomic Comparison of in vitro and in vivo Neural Cells

... the expression between and within the cell types presented is consistent with previously published comparisons between these cell types, displaying marker genes and pathways which are known to be expressed in ... See full document

98

Transcriptome wide based identification of miRs in congenital anomalies of the kidney and urinary tract (CAKUT) in children: the significant upregulation of tissue miR 144 expression

Transcriptome wide based identification of miRs in congenital anomalies of the kidney and urinary tract (CAKUT) in children: the significant upregulation of tissue miR 144 expression

... performed analysis are two tables: one table of gene expression values for G genes from N samples (N microarrays) and the other table giving the counts of predicted target sites for M miRs in the ... See full document

10

Original Article Identification of a novel miRNA-target gene regulatory network in osteosarcoma by integrating transcriptome analysis

Original Article Identification of a novel miRNA-target gene regulatory network in osteosarcoma by integrating transcriptome analysis

... an integrated analysis of miRNA and mRNA expression data to explore the dysregulation of miRNA and miRNA-target gene regulatory network underlying ...miRNA expression data ... See full document

10

A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data

A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data

... The gene expression data were standardized so that the observations(genes) have mean 0 and variance 1 across different ...the data in this fashion achieves a location and scale ... See full document

6

<p>Integrated Gene Expression Profiling Analysis Reveals Probable Molecular Mechanism and Candidate Biomarker in Anti-TNFα Non-Response IBD Patients</p>

<p>Integrated Gene Expression Profiling Analysis Reveals Probable Molecular Mechanism and Candidate Biomarker in Anti-TNF&alpha; Non-Response IBD Patients</p>

... We integrated six cohorts of microarray datasets from three independent studies using NetworkAnalyst, a web interface for integrative statistical and visualizing ...multiple gene expression ... See full document

15

Cancer Data Classification Using Clustering Techniques

Cancer Data Classification Using Clustering Techniques

... Principal component analysis has been applied to analyze gene expression data and to improve cluster quality are studied in ...learning method for classification, regres-sion, ... See full document

12

Independent component analysis of Alzheimer&#039;s DNA microarray gene expression data

Independent component analysis of Alzheimer's DNA microarray gene expression data

... clustering method was performed on rows of matrix A with the last two latent variables removed that were con- sidered noise or, since their values are similar across all samples, to have no biological relevance to ... See full document

14

Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients

Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients

... principal component and in- dependent components as feature selection ...angiogenic component RIC49 on one side, and averaged expression pro- files of single cell sub-populations published by Tirosh ... See full document

17

A method to estimate the efficiency of gene expression from an integrated retroviral vector

A method to estimate the efficiency of gene expression from an integrated retroviral vector

... this method the reaction has to be suffi- ciently sensitive to detect one provirus in the number of cells seeded in the ...Clonal analysis was also ... See full document

10

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

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

... individual analysis of data sets, similar normalization methods, statistical tests, and parameters were used with all data ...all data sets except data set 4 were normalized using ... See full document

10

YAP1 oncogene is a context-specific driver for pancreatic ductal adenocarcinoma

YAP1 oncogene is a context-specific driver for pancreatic ductal adenocarcinoma

... YAP1 gene or its upstream Hippo pathway are relatively uncommon (30, ...Our data showing constitutive nuclear localization of YAP1 protein in YAP1-dependent tumor cells indicates that suppres- sion ... See full document

16

Expression analysis of anthocyanin gene induced under phosphorus starvation in maize genotypes with contrasting phosphorus use efficiency

Expression analysis of anthocyanin gene induced under phosphorus starvation in maize genotypes with contrasting phosphorus use efficiency

... Plant development is a dynamic and complex process that is often subject to environmental stresses (Jain et al., 2007). In response to these factors, plants have developed many morphological, physiological, biochemical ... See full document

9

Multivariate Analysis in Upland Cotton (Gossypium hirsutum L.)

Multivariate Analysis in Upland Cotton (Gossypium hirsutum L.)

... The analysis of variance (ANOVA) revealed highly significant differences among 63 genotypes for 17 characters indicating the existence of sufficient variability among the genotypes for characters studied ... See full document

8

Sí, Se Puede (Yes, We Can), Culturally Relevant Biographies: A study on the impact of culturally relevant biographies on social studies instruction

Sí, Se Puede (Yes, We Can), Culturally Relevant Biographies: A study on the impact of culturally relevant biographies on social studies instruction

... RNA-Seq is an increasingly popular approach to transcriptome profiling that uses the capabilities of next generation sequencing (NGS) technologies and provides better measurement of levels of transcripts and their ... See full document

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