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Using larger datasets of partial coding sequence the evolution of ASPM and CDK5RAP2 have been linked to brain size [ 8, 21].
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By using large datasets of airborne LiDAR data implemented in a geographic information system (GIS), we have mapped flood related features along the Glomma and Vrangselva rivers in southeastern Norway.
MaxEntScan is based on an approach to modeling short sequences that takes into account adjacent and nonadjacent dependencies using large datasets of human splice sites, based on the principle of maximum entropy.
Our study shows that when using large datasets the choice of machine learning method becomes important.
Although, it ensures that enough information is available to base a decision upon, the drawback of using large datasets is the increased complexity of the machine learning algorithms and, the high probability of numerical instability in the system.
The aim of this study was to improve the characterization of Ostreopsis species and investigate the geographical distribution by using large dataset composed of both new and old sampled isolates.
However, these methods were evaluated using large simulated datasets of about 10,000 observations, and roughly balanced treatment groups [ 10].
However, a study using larger number of datasets for cortical box analysis may clarify if any lateralization exists in rodent neocortex.
Therefore, in this paper, the author would like to test the typology proposed by Gillmann (2010) using a larger dataset of actors.
Chalwatzis et al [ 70, 71] reached similar conclusions about the relationships between Diptera and Strepsiptera using a larger dataset of 18S rDNA sequences.
Our study greatly extends this earlier work, adding large-scale examination of databases of known transcription factor binding sites and the powerful tool of comparative genomics, as well as using a larger dataset of more than 300 OR promoter sequences.
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