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One major limitation of methods using this approach is that they are protein- and position- independent.
This reveals, therefore, a fundamental limitation of methods based on threshold graphs or the global pruning of dendrograms.
One limitation of methods based on machine learning is that they are prone to over-optimization when developed on data sets as small as the Database of Protein Disorder (DisProt) or as specialized as missing coordinates from the Protein Data Bank (PDB).
Although useful, a main limitation of methods based solely on mutation frequency is the inherent assumption that driver genes have relatively high mutation rates.
A limitation of methods relying on the functional annotations of genes is that just a small percentage of genes in the databases have an experimentally verified function (6% have links to non-genomic literature [ 27]).
Thirdly, sensitivity to taxa number is a known limitation of methods for detecting positive selection, therefore more than 6 taxa are needed to gain accurate estimations of selective pressure using the maximum likelihood (ML) method applied here [ 10].
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The strong charge reveals a limitation of method.
The authors would like to note here certain limitations of methods of data collection and analysis.
Developing PK-PD models necessitates understanding the limitations of methods evaluating response.
The better performance of DSSP based methods demonstrates the limitations of methods (PSIPRED & BetaTurns) used for predicting secondary structure.
We have analyzed these data with an approach sensitive to all the systematic biases and limitations of methods given above.
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