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In order to test whether there were any significant intra-group variations in the replacement values, subsets of 500 pairs of sequences were taken sequentially from start to end and also randomly from the entire dataset of a specific group of orthologs (i.e. high-/medium-/low-GC group) and 20 × 20 AARM was determined for each subset of sequence pairs.

One method often used in archetype design is trying to cover all possible aspects (maximal dataset) of a specific well-bounded clinical concept, such as the recording of blood glucose measurements or body weight (including details of measurement method, amount of clothing, etc).

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Our study fills this gap, investigating how well this very popular method works for D. melanogaster gene expression data, in particular when the dataset is of a specific structure imposed by the nature of time‐course experiments, as the one we use in our study.

Other solutions, such as open source validation datasets (for a specific condition of use), could potentially serve the same purpose.

A P-value ≤ 0.05 was considered statistically significant and indicated a nonrandom enrichment of an experimental dataset by members of a specific pathway.

These data consisted of simulated PPI datasets in which a known proportion of any dataset contained a specific ELM motif that interacts with the hypothetical interaction partner of the proteins.

Methodologies that prioritise abstract theory may have a better claim to drawing universalisable conclusions than methods that tie an analysis to a specific dataset or a specific group of people.

In an RNA-Seq dataset, the expression level of a specific gene, m ij (k ), is defined as the total number of short sequences which aligned to the gene.

In our dataset, we claim identification of a specific protein isoform only if there was at least one validated peptide identified that specifically differentiated between the possible isoforms for this particular protein.

For a specific dataset of a time series in a moving window, we define the fitting function as a quadratic polynomial for fitting a specific range of f i : {c}_n(t)={c}_1+{c}_2t+{c}_3{t}^2 (2)where t corresponds to the day of the year in NDVI time series.

These complex manipulations of the vegetation likely started during the early phases of human settlement, with current datasets indicating the presence of a specific coastal vegetation including socially important and/or cultivated taxa associated with the first known occupation of the island, dated to the 13th-14th century AD.

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