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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Structure of a Gene01:30

Structure of a Gene

A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
What is Gene Expression?01:42

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
What is Gene Expression?01:36

What is Gene Expression?

A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then processed and...
What is Gene Expression?01:42

What is Gene Expression?

Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...

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Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform
13:14

Global Gene Expression Analysis Using a Zebrafish Oligonucleotide Microarray Platform

Published on: August 10, 2009

Classification across gene expression microarray studies.

Andreas Buness1, Markus Ruschhaupt, Ruprecht Kuner

  • 1German Cancer Research Center (DKFZ), Department of Molecular Genome Analysis, 69120 Heidelberg, Germany. a.buness@gmx.de

BMC Bioinformatics
|January 1, 2010
PubMed
Summary
This summary is machine-generated.

Integrating multiple gene expression microarray studies improves breast cancer classification accuracy. A new method, derived version (DV) of k-top scoring pairs, shows enhanced robustness and better predictive performance across different platforms.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Biomedical Research

Background:

  • Gene expression microarray studies are vital in biomedical research and clinical practice for breast cancer patient stratification.
  • Integrating and analyzing data from multiple microarray studies presents significant challenges.
  • This study addresses the need for robust data integration to improve classification accuracy.

Purpose of the Study:

  • To assess the benefits of data integration on classification accuracy.
  • To systematically evaluate the generalization performance of various classification methods across independent breast cancer studies.
  • To develop and evaluate an improved method for cross-study classification.

Main Methods:

  • Utilized four independent breast cancer microarray studies (nearly 1000 samples).
  • Employed an evaluation framework for statistical practice and difference monitoring.
  • Compared support vector machines (SVM), predictive analysis of microarrays (PAM), random forest (RF), and k-top scoring pairs (kTSP).
  • Developed and evaluated a derived version (DV) of kTSP for improved cross-study robustness.

Main Results:

  • Individual study classification showed similar performance across methods.
  • Cross-study classification had higher misclassification rates but improved with more integrated training data.
  • The derived version (DV) of kTSP outperformed average methods with reduced variance.
  • DV demonstrated superior predictive results in cross-platform classification, indicating higher robustness.

Conclusions:

  • Presents a systematic evaluation of microarray study integration strategies for classification.
  • Findings guide the development of more robust and reliable methods for clinical stratification and diagnosis.
  • Highlights the potential of data integration to enhance diagnostic accuracy in breast cancer.