Gene Expression Data

EMA - A R package for Easy Microarray data analysis

Microarray Data Analysis / Gene expression / Microarray Analysis / Ease of Use / Microarray Data / Gene Expression Data

FARO server: Meta-analysis of gene expression by matching gene expression signatures to a compendium of public gene expression data

Gene expression / Meta Analysis / Gene Expression Data

Merging microarray data from separate breast cancer studies provides a robust prognostic test

Breast Cancer / Gene expression / Database Management Systems / Biological Sciences / Humans / Mathematical Sciences / BMC Bioinformatics / Sample Size / Prognosis / Data Aggregation / Reproducibility of Results / Statistical Model / Side Effect / Large Scale / Health Care Expenditure / Sensitivity and Specificity / Microarray Data / Gene expression profiling / Gene Expression Data / Mathematical Sciences / BMC Bioinformatics / Sample Size / Prognosis / Data Aggregation / Reproducibility of Results / Statistical Model / Side Effect / Large Scale / Health Care Expenditure / Sensitivity and Specificity / Microarray Data / Gene expression profiling / Gene Expression Data

A new approach to clustering biological data using message passing

Gene expression / Message Passing / Hierarchical Clustering / Clustering Method / Phylogenetic Tree / Biological Data / Classification Accuracy / Gene Expression Data / Biological Data / Classification Accuracy / Gene Expression Data

Molecular mapping of human hepatocellular carcinoma provides deeper biological insight from genomic data

Network Analysis / Gene expression / Humans / Female / Male / Hepatocellular Carcinoma / Biological Network / European / Integrated Approach / Aged / Middle Aged / Molecular Marker / Microarray Data / Down-Regulation / Gene Expression Data / Hepatocellular Carcinoma / Biological Network / European / Integrated Approach / Aged / Middle Aged / Molecular Marker / Microarray Data / Down-Regulation / Gene Expression Data

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