Sentence examples for datasets is important because from inspiring English sources
Establishing the extent to which these measures differ in analyzed datasets is important because in previous work C W [ 3– 29, 38– 41], R W [ 6, 7, 14, 16, 26, 42, 43] or M W [ 19, 20, 43– 47] were used in comparisons of methylation across region types, with C W being the prevalent choice.
Sensing and collecting sufficient number of datasets by installing the appropriate number of sensors is important because the number of input data is closely related with research background and effect of visualization.
This study represents the most comprehensive genetic dataset available for wild chimpanzees from Cameroon, which is important because it is the only known area where the distributions of two chimpanzee subspecies overlap.
Such a methodological feature is important because this study uses a panel dataset with a time series aspect for each prefecture.
A dataset on the hydrologic impact of urbanization with extensive stormwater infiltration is not widely available, and is important because many municipalities are considering infiltration as an alternative to traditional stormwater systems.
In this search, 181 proteins were identified as probable TFs [See additional file 4] This search is important because proteins identified by these specific HMMs might not be included in the dataset retrieved from the previous phase.
This capability is important because there is a wide distribution of TMH length amongst the 70 helical polytopic membrane proteins in the testing dataset (Fig. 2a), e.g., TMH can be as short as 10 residues.
These considerations are important because they influence the accuracy of data (hence ensure quality control) and the significance/power of results (hence avoid dataset exclusion).
This was important because close conformance to the training data by overfitted models (i.e. fitting error variation) may cause models to perform poorly when projected to other areas or climate datasets.
