Assessing Protein Set Coherence Using Functional Annotations
Author Information
Author(s): Monica Chagoyen, Jose M Carazo, Alberto Pascual-Montano
Primary Institution: Centro Nacional de BiotecnologĂa – CSIC, Madrid, Spain
Hypothesis
A method is proposed to measure the functional homogeneity of protein sets based on their functional annotations.
Conclusion
The method effectively identifies biologically relevant protein sets that are significantly coherent.
Supporting Evidence
- The method was evaluated using known biologically relevant protein sets.
- Most expert-annotated datasets showed significant coherence.
- The method can validate new experimental or hypothetical functional modules.
Takeaway
This study introduces a way to check if a group of proteins works well together based on their functions, helping scientists understand their roles better.
Methodology
The method calculates a coherence score based on the global similarity of functional annotations and assesses its significance using statistical hypothesis testing.
Limitations
The completeness of functional annotations can affect the results, and the method may not provide functional interpretations.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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