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Related Concept Videos

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...
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...

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Related Experiment Video

Updated: Jul 20, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Targeted projection pursuit for visualizing gene expression data classifications.

Joe Faith1, Robert Mintram, Maia Angelova

  • 1Northumbria University Newcastle, UK. joe.faith@unn.ac.uk

Bioinformatics (Oxford, England)
|September 7, 2006
PubMed
Summary

Targeted Projection Pursuit (TPP) offers a new way to visualize complex data. This method effectively finds low-dimensional views, improving cancer classification from gene expression data compared to existing techniques.

Related Experiment Videos

Last Updated: Jul 20, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Area of Science:

  • Computational biology
  • Data visualization
  • Machine learning

Background:

  • High-dimensional data analysis is crucial in various scientific fields.
  • Existing dimension reduction techniques have limitations in preserving specific data structures.
  • Gene expression data presents a significant challenge due to its high dimensionality.

Purpose of the Study:

  • To introduce Targeted Projection Pursuit (TPP), a novel method for dimensionality reduction.
  • To develop two versions of TPP: one using Procrustes analysis and another using artificial neural networks.
  • To evaluate TPP's effectiveness in creating informative low-dimensional data views.

Main Methods:

  • TPP identifies data projections that best approximate a desired target view.
  • The Procrustes-based TPP finds orthogonal projections.
  • The artificial neural network-based TPP finds non-orthogonal projections.

Main Results:

  • TPP was quantitatively and qualitatively compared against established dimension reduction methods.
  • Both TPP versions demonstrated the ability to find effective low-dimensional representations.
  • The method successfully generated 2D views that visually separated cancer classifications in gene expression data.

Conclusions:

  • Targeted Projection Pursuit is a powerful new tool for exploring high-dimensional datasets.
  • TPP achieves visual separation of data classes comparable to or better than existing methods.
  • The technique shows particular promise for applications in bioinformatics and cancer research.