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The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
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The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
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Related Experiment Video

Updated: Mar 17, 2026

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On the Evaluation of Module Preservation.

Greg Gibson1

  • 1School of Biological Sciences, Georgia Institute of Technology, Atlanta GA 30332, USA.

Cell Systems
|July 29, 2016
PubMed
Summary

NetRep software offers fast statistical tools to compare gene expression network structures. It uses a permutation approach to validate measures for assessing co-expression preservation across datasets.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Comparing gene expression networks is crucial for understanding biological systems.
  • Existing statistical tools may lack the speed or accuracy needed for large-scale network analysis.

Purpose of the Study:

  • To introduce NetRep, a software tool for comparing gene expression network modular structures.
  • To validate statistical measures for assessing co-expression preservation across different datasets.

Main Methods:

  • NetRep employs a permutation approach for statistical validation.
  • The software evaluates seven distinct measures of co-expression preservation.

Main Results:

  • The permutation approach in NetRep effectively validates measures for comparing network structures.

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  • The software facilitates accurate assessment of co-expression preservation.

    • Conclusions:

    • NetRep provides a robust and efficient solution for comparative network analysis.
    • The validated measures enhance the reliability of cross-dataset gene expression network comparisons.