Correction: Splice site identification using probabilistic parameters and SVM classification
2007
Correction on Splice Site Identification Method
publication
Author Information
Author(s): Baten AKMA, Chang BCH, Halgamuge SK, Li Jason
Primary Institution: The University of Melbourne
Hypothesis
The proposed method for splice site identification is valid and effective.
Conclusion
The correction clarifies that the results for the smaller dataset were incorrectly scaled, affecting several figures in the original publication.
Supporting Evidence
- The proposed method was tested against two datasets.
- The better performance on the larger dataset supports the validity of the method.
- An error in scaling affected the results of several figures in the original paper.
Takeaway
The researchers found a mistake in their earlier work about identifying splice sites, and they fixed it to make sure the results are accurate.
Methodology
The method was tested against two datasets for splice site identification.
Limitations
The results for the smaller dataset were incorrectly scaled.
Digital Object Identifier (DOI)
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