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Related Concept Videos

Aldol Condensation vs Claisen Condensation01:33

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Aldol condensation is an acid or base-catalyzed condensation between aldehydes or ketones to give an α,ꞵ-unsaturated carbonyl compound. A base-promoted condensation between ester molecules to produce a ꞵ-ketoester is known as the Claisen condensation. In the presence of a base, both reactions involve deprotonation of the acidic α hydrogen to produce the corresponding enolates. The nucleophilic enolates attack their respective nonenolized carbonyl compound forming a tetrahedral...
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The physical form of a substance changes on changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. Vaporization occurs when the thermal motion of the molecules overcome the intermolecular forces, and the molecules (at the surface) escape into the gaseous state. When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules...
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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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Graphing Antiderivatives01:30

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The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Aldol Condensation with β-Diesters: Knoevenagel Condensation01:27

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The Knoevenagel condensation is an aldol-type reaction involving the condensation of aldehydes or ketones with active methylene compounds such as β-diesters to produce substituted olefins.
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Related Experiment Video

Updated: Jan 24, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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Graph Algorithms for Condensing and Consolidating Gene Set Analysis Results.

Sara R Savage1, Zhiao Shi1, Yuxing Liao1

  • 1Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.

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|May 31, 2019
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Summary
This summary is machine-generated.

This study introduces the Sumer R package to integrate gene set analysis from multiple omics experiments, reducing redundancy and revealing common or distinct cancer prognosis pathways.

Keywords:
AlgorithmsBioinformatics softwareBreast cancerCancer Biology*Computational BiologyData evaluationNetworks*OmicsPathway Analysis

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Gene set analysis is crucial for interpreting omics data.
  • Integrating results from multiple omics experiments is challenging due to redundancy.
  • Existing methods struggle to consolidate findings across diverse datasets.

Purpose of the Study:

  • To develop a novel computational approach for integrating gene set analysis results from multiple omics experiments.
  • To reduce annotation redundancy within and across experiments.
  • To identify robust biological pathways associated with cancer prognosis.

Main Methods:

  • Utilized a weighted set cover algorithm to reduce gene set redundancy within single experiments.
  • Employed affinity propagation to cluster and identify representative gene sets across multiple experiments.
  • Applied the methods to over-representation analysis, gene set enrichment analysis, and pan-cancer survival analysis.

Main Results:

  • Weighted set cover significantly reduced gene set numbers (52-77%) compared to previous methods.
  • Integration of RNA-Seq and proteomics data revealed distinct breast cancer subtypes' pathway differences.
  • Pan-cancer analysis identified common and cancer-specific prognosis-related pathways, including those with differential prognostic impact.

Conclusions:

  • The proposed algorithms effectively integrate multi-experiment gene set analysis, overcoming redundancy challenges.
  • The Sumer R package provides a powerful tool for exploring and visualizing integrated omics findings.
  • This approach enhances the discovery of biologically relevant pathways for cancer research and clinical applications.