Steele, E., Tucker, A.: Consensus and meta-analysis regulatory networks for com- bining multiple microarray gene expression datasets. Journal of Biomedical Infor- matics 41(6), 914-926 (2008)Steele, E., Tucker,
Although all the cells contain the same gene, their expression is different in various tissues. In specific conditions, some genes are expressed in particular places while some are not expressed. The latest technologies, such as microarray, RNAseq, and ChipSeq, are used to capture the RNA ...
Gene expression is controlled by many simultaneous interactions, frequently measured collectively in biology and medicine by high-throughput technologies. It is a highly challenging task to infer from these data the generating effects and cooperating gen
G. Key Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets. PLoS Med., https://doi.org/10.1371/journal.pmed.0050184 (2008). Article PubMed PubMed Central CAS Google Scholar Hu, P., Greenwood, C. M. T. & Beyene, J. Integrative analysis of multiple gene ...
Microarray Gene Expression Data MICROBAS MICROCAD MICROCATS MICRODIS MICROFIN MICROMEDES MICROMOBILE MICROMORT MICRON MICRORAD MICROSAT MICROSEC Microsoft MICROSS MicroTCA MICROTIS MICRRH MICRS MICS MICSA MICSE MICSI MICSP MICSPOMS MICSS
We identified gene coexpression networks in the transcriptome of developing Arabidopsis (Arabidopsis thaliana) seeds from the globular to mature embryo stages by analyzing publicly accessible microarray datasets. Genes encoding the known enzymes in the fatty acid biosynthesis pathway were found in one co...
We analyze how different distances and clustering methods interact regarding their ability to cluster gene expression, i.e., microarray data. We study 15 distances along with four common clustering methods from the literature on a total of 52 gene expression microarray datasets. Distances are evaluate...
Many microarray datasets have been generated for identifying disease-associated biomarkers, classifying disease types, and predicting treatment outcomes. However, only a few microarray studies were designed to investigate human tissue-selective gene expression. Su et al. [6] used custom oligonucleotide ...
基因表达微阵列数据高级分析Advanced Analysis Of Gene Expression Microarray Data(2006) 热度: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method 热度: Characterization of differential gene expression profiles in diabetic embryopathy using DNA ...
because gene expression is a temporal process, the relationship between successive time points should be considered in the analyses. In addition, biological processes are generally continuous; therefore, the datasets collected from time series experiments are often found to have an insufficient number of...