Sentence examples for propensity based on from inspiring English sources

Finally we compare our findings with previous assessments of patent propensity based on several sources of data.

Hence, earlier TMH prediction programs, such as TOP-PRED [1], compute sequence hydrophobicity from amino acid hydrophobicity scales assigned by biophysical and chemical measurements [2] [4], and predict TMH propensity based on the average hydrophobicity score of a sliding prediction window of N successive residues along the sequence.

Mostly, MSM are treated as a homogenous group and therefore the varied risk propensity based on contextual factors are often ignored [ 11].

Here, MTMDAT takes all the previously produced time-course plot files and calculates the relative cleavage propensity based on the algorithm in Hennig et al. (2005) (an example of such a plot is shown in Fig. 1).

These results strongly suggest that the differential response of memory effect and transcriptionally responsive promoters to loss of Abf1 binding is due at least in part to memory effect promoters showing a reduced propensity, based on DNA sequence, to form a closed chromatin structure upon loss of Abf1 binding in abf1 ts yeast.

Previous work from the Widom and Segal labs measured nucleosome occupancy obtained upon packaging yeast genomic DNA into nucleosomes in vitro, and then developed an algorithm based on the results to predict relative nucleosome-forming propensity based on DNA sequence (Kaplan et al. 2009).

The PPCpred outperforms the existing solutions in both the binary prediction (based on the MCC and ACC scores) and the real-valued propensities (based on the AUC values).

We calculated the propensities based on the complete sequences that were cloned and tested experimentally in this work, which we believe, is more credible than using the predicted PrD-cores, which are inferred solely based in statistical precepts.

Summarizing, at a given time t we compute, as described above, the time-dependent propensities based on the volume of the cell at that time and, according to those, we determine the time at which the next reaction takes place, t + △ t, following the standard Gillespie algorithm.

For an additional sensitivity analysis, we calculated propensity scores based on the first model and performed the main analysis stratified by quintiles of this propensity score.

Patients were propensity matched based on their association with death and early tracheostomy.