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Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
¹H NMR Chemical Shift Equivalence: Enantiotopic and Diastereotopic Protons00:58

¹H NMR Chemical Shift Equivalence: Enantiotopic and Diastereotopic Protons

Replacing each alpha-hydrogen in chloroethane by bromine (or a different functional group) yields a pair of enantiomers. Such protons are called prochiral or enantiotopic and are related by a mirror plane. Enantiotopic protons are chemically equivalent in an achiral environment. Because most proton NMR spectra are recorded using achiral solvents, enantiotopic hydrogens yield a single signal.
In chiral compounds such as 2-butanol, replacing the methylene hydrogens at C3 produces a pair of...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

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Related Experiment Video

Updated: May 26, 2026

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
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Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

The multi-reference contrast method: facilitating set enrichment analysis.

Cristóbal Fresno1, Andrea S Llera, María R Girotti

  • 1BioScience Data Mining Group, Catholic University of Córdoba, Córdoba, Argentina.

Computers in Biology and Medicine
|January 10, 2012
PubMed
Summary

Set enrichment analysis (SEA) can be improved by using multiple background references (BRs). The multi-reference contrast method (MRCM) visualizes results from various BRs, aiding biological discovery in high-throughput experiments.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics and Proteomics

Background:

  • Set enrichment analysis (SEA) identifies biological terms in differential expression data.
  • Selecting an appropriate background reference (BR) for SEA is challenging and impacts results.
  • Existing methods lack robust strategies for handling BR variability.

Purpose of the Study:

  • To present a visualization tool that integrates SEA results from multiple BRs.
  • To introduce a stability analysis for enriched terms to aid interpretation.
  • To address the problem of choosing an appropriate BR in high-throughput data analysis.

Main Methods:

  • Developed the multi-reference contrast method (MRCM) for integrating SEA results.
  • Implemented a visualization procedure combining outcomes from several BRs.
  • Performed stability analysis on enriched terms across different BRs.

Main Results:

  • The MRCM effectively visualizes and integrates SEA results from multiple BRs.
  • Consensus terms across BRs validated main experimental hypotheses in proteomic and microarray data.
  • Non-consensus terms were automatically highlighted, assisting in biological insight discovery.

Conclusions:

  • The MRCM facilitates exploration in ontology analysis for high-throughput experiments.
  • Utilizing multiple BRs can uncover novel biological insights.
  • The proposed tool enhances the reliability and interpretability of SEA.