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Since experimental validation of the functional equivalency of each protein in the dataset is a difficult task [12], we provide verification in the form of necessary, if not sufficient, conditions that the MoLFunC set should satisfy.
However, developing and implementing information technology to support a shared dataset is a difficult, slow and gradual process [ 40].
However, the development and implementation of information technology to support a shared dataset is a difficult and gradual process.
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Building reference datasets is a very difficult task in phylogeny where an objective, independent source of information for establishing the correct history of a set of sequences is usually lacking.
Building a robust classifier when learning from a highly unbalanced dataset is very difficult; minimizing the classification error typically causes the larger class to overwhelm the smaller one.
Ideally, we would assess accuracy using an RNA-Seq dataset for which isoform levels have been determined via qPCR, but such a dataset is difficult to obtain due to the relatively low-throughput nature of qPCR.
We performed this analysis for groups of size 2, 4, 8 and 16. Results were qualitatively similar across all group sizes (Table S1), we therefore present the results for groups of size 4. Controlling for phylogenetic non-independence in such a large dataset is difficult because knowing the complete phylogeny is problematic.
Choosing an objective testing dataset is the most difficult, especially when the datasets used in the original publications are not equivalent.
Since the BU 3DFE dataset [30] is a more difficult setup, the performance is lower compared to the test on the Mocap-Face dataset [9].
Although estimating conditional K a / K s accurately from the Treated dataset is difficult due to insufficient counts, we identified 274 codon pairs that showed statistically significant increases in conditional K a / K s for Treated relative to the Untreated dataset (Table 4).
A compromise between preserving the anonymity and keeping enough information in the dataset is difficult to achieve.
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CEO of Professional Science Editing for Scientists @ prosciediting.com