Sentence examples for more sensitive computational from inspiring English sources
In that case, more sensitive computational methods, such as hidden Markov model (HMM) predictions [25], may be successful.
To more thoroughly assess the mRNA::miRNA potential pairing, we additionally developed a more sensitive computational approach to identify target candidates.
This suggests that future efforts to deposit microbiome data need to employ more sensitive computational screens in order to avoid the unintentional release of human sequence data.
With the growing disparity between the number of available protein sequences and number of experimentally determined structures and functions, we are reliant on more sensitive and effective computational methods for domain assignments.
With the development of more sensitive technologies and also computational tools for statistical analysis and data interpretation, metabolomics has the potential to help us better understand the molecular mechanisms of disease.
In order to facilitate more sensitive and thorough mining, many computational methods, both alignment-based and alignment-free classification methods, were developed particularly for these proteins.
Compared to personal computers, the embedded platform is much more sensitive to the usage of memory and computational resources.
These results together with those previously obtained for the polyvinylmethylether/polystyrene blends with the same method are compared with data yielded by other computational simpler approaches, which are considerably more sensitive to different parameter choices.
This study was designed to test the hypothesis that sound intensity and duration might be more sensitive to MMN reduction early in the development of schizophrenia because of the computational complexity in extracting these two sound dimensions.
"These telescopes are going to be much more sensitive and comprehensive than searches in the past thanks to the dramatic increase in our computational capabilities".
Such iterative curation is also important in computational model reconstruction, especially when new and better (i.e., more comprehensive, more sensitive, higher resolution) data becomes available.
