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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. Many experiments of…

Measurement, Applications & Art

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Statistical analysis

18 related topics

Background

10 related topics

Validation of high throughput measurements

4 related topics

Finding patterns among regulated genes

7 related topics

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Overview

Background

Comparison to proteomics

Use in hypothesis generation and testing

Limitations

Validation of high throughput measurements

Statistical analysis

Gene annotation

Categorizing regulated genes

Finding patterns among regulated genes

Conclusions

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Map overview Semantic statistics

Gene expression profiling

Nodes78
Edges77
Triples33
Avg. degree1.97
Density0.025641
Components1

How this topic connects Entity context

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Gene expression profiling

Top relations

related to background · 12
Gene expression profiling → Expression, For, Gene, Genes, If, In, Many, P450, RNA, Similarly, Therefore, This
measured by · 7
Gene expression profiling → Both DNA, DNA, Other, PCR, So, Western, While
related to Comparison to proteomics · 6
Gene expression profiling → However, In, RNA, The, This, While
is a · 1
Gene expression profiling → measurement of the activity
see also · 1
Gene expression profiling → Gene

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Important terminology

genes gene expression profiling one many analysis experiments may mrna cholesterol proteins would regulated list different often expressed experimental protein

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Gene expression profilingis ameasurement of the activity0.90text
ANOVAinstance ofone can use a variety of statistical tests or omnibus tests0.80text
all of which consider both fold changeinstance ofone can use a variety of statistical tests or omnibus tests0.80text
variability to create a p-valueinstance ofone can use a variety of statistical tests or omnibus tests0.80text
an estimate of how often we would observe the data by chance aloneinstance ofone can use a variety of statistical tests or omnibus tests0.80text
Rank products aim to strike a balance between false discovery of genes due to chance variationinstance ofCurrent statistics0.80text
non-discovery of differentially expressed genesinstance ofCurrent statistics0.80text
Gene expression profilingmeasured byBoth DNA0.60section
Gene expression profilingmeasured byPCR0.60section
Gene expression profilingmeasured byWhile0.60section
Gene expression profilingmeasured byDNA0.60section
Gene expression profilingmeasured bySo0.60section

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