Sentence examples for based on functional similarities from inspiring English sources

Comparison of gene responses, based on functional similarities, not surprisingly, showed many up regulated genes coding for inflammatory mediators (Fig. 3).

Broadly, β-galactosidases are classified into seven glycoside hydrolase (GH) families based on functional similarities [ 10], with the extensively studied E. coli enzyme belonging to the GH-2 family [ 11].

We excluded text mining-based networks to avoid confounding by links based on functional similarity.

Analyses of candidate gene groups based on functional similarity revealed three groups that were associated with at least one cachexia phenotype at the p < 0.05 level (Table 3).

Of the ten methods studied in our analysis, only four (RBH, Inparanoid, OrthoMCL and KOG) were included in that study: rankings in sensitivity (approximated indirectly as raw numbers of ortholog predictions) and specificity (inferred indirectly based on functional similarity score) partly agree with the present report.

Pathways were arranged into a tree based on functional similarity, shown on both axes.

For bioinformatics approaches, it is important to measure the functional similarities among microRNAs in order to construct networks based on functional similarity [ 20– 20].

These applications were grouped into 7 categories based on functional similarity: disease diagnosis, drug reference, medical calculators, literature search, clinical communication, HIS clients, and medical training.

However, these gene names are not necessarily based on functional similarity with ScTor1 and ScTor2 but rather indicate only that there are two TOR homologs in B. dendrobatidis.

Even though the classifiers based on functional similarity performed poorly, most likely due to the lack of GO term assignment for many genes, they contributed to improve the performance of the classifier including all features.

ToppGene ranks candidate genes (test genes) based on functional similarity to training gene list through integration of various types of data such as gene expression, regulatory information, and literature mining data.