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  2. Gene set enrichment analysis - Wikipedia

    en.wikipedia.org/wiki/Gene_set_enrichment_analysis

    Schematic overview of the modular structure underlying procedures for gene set enrichment analysis. Gene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with different phenotypes (e.g ...

  3. Gene Ontology Term Enrichment - Wikipedia

    en.wikipedia.org/wiki/Gene_Ontology_Term_Enrichment

    The Gene Ontology (GO) provides a system for hierarchically classifying genes or gene products into terms organized in a graph structure (or an ontology).The terms are groups into three categories: molecular function (describing the molecular activity of a gene), biological process (describing the larger cellular or physiological role carried out by the gene, coordinated with other genes), and ...

  4. Expressed sequence tag - Wikipedia

    en.wikipedia.org/wiki/Expressed_sequence_tag

    Moreover, the situation in which those ESTs are obtained (tissue, organ, disease state - e.g. cancer) gives information on the conditions in which the corresponding gene is acting. ESTs contain enough information to permit the design of precise probes for DNA microarrays that then can be used to determine gene expression profiles.

  5. Gene expression profiling - Wikipedia

    en.wikipedia.org/wiki/Gene_expression_profiling

    In the field of molecular biology, gene expression profiling is the measurement of the activity (the expression) of thousands of genes at once, to create a global picture of cellular function. These profiles can, for example, distinguish between cells that are actively dividing, or show how the cells react to a particular treatment.

  6. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    Genes and samples with similar expression profiles can be automatically grouped (left and top trees). Samples may be different individuals, tissues, environments or health conditions. In this example, expression of gene set 1 is high and expression of gene set 2 is low in samples 1, 2, and 3. [51] [129]

  7. DNA microarray - Wikipedia

    en.wikipedia.org/wiki/DNA_microarray

    How to use a microarray for genotyping. The video shows the process of extracting genotypes from a human spit sample using microarrays. Genotyping is a major use of DNA microarrays, but with some modifications they can also be used for other purposes such as measurement of gene expression and epigenetic markers.

  8. Genetic testing - Wikipedia

    en.wikipedia.org/wiki/Genetic_testing

    Genetic testing, also known as DNA testing, is used to identify changes in DNA sequence or chromosome structure. Genetic testing can also include measuring the results of genetic changes, such as RNA analysis as an output of gene expression, or through biochemical analysis to measure specific protein output. [1]

  9. RNA-Seq - Wikipedia

    en.wikipedia.org/wiki/RNA-Seq

    Gene set enrichment determines if the overlap between two gene sets is statistically significant, in this case the overlap between differentially expressed genes and gene sets from known pathways/databases (e.g., Gene Ontology, KEGG, Human Phenotype Ontology) or from complementary analyses in the same data (like co-expression networks).

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