Sentence examples for predictions which predicted from inspiring English sources

After 110 min, we then simulated a blebbistatin treatment as an exponential decrease in contractility, following previous experimental results on traction force decrease with blebbistatin (Lam et al., 2012; details in Appendix 5: model predictions), which predicted a rapid migration back towards the anterior pole.

Human Tex19 "MCP" region was submitted to PSIPRED secondary structure prediction program which predicted 2 alpha-helices (Fig.  3c).

The observed motif (5'-TATATTAGAGGGA-3') well matches to the promoter consensus sequence (5'-TATA>TANGRRRR-3') of several arthropods (see additional file 3 data; [ 23]), and it has been also confirmed by using the Neural Network Promoter Prediction tool, which predicted the same sequence (5'-TTTTGGGTATATTAGAGGGA-3') with a score of 0.93.

Here is a set of predictions from 2013 which predicted pretty fast adoption - but even these are being surpassed.

In this study of mouse ml-ncRNAs, we identified 22 ml-ncRNAs encoding known miRNAs (henceforth labelled miRNA-encoding ncRNAs or me-ncRNAs), and developed a prediction procedure, PriMir, which predicted 97 me-ncRNA candidates among the 34,030 ml-ncRNAs in the FANTOM3 data.

Though most of the rainforest remains intact in contrast to the gloomiest predictions of the 1980s, which predicted it would be almost gone by now it continues to be hacked away at a rate that will see it wiped out within the next 200 years.A reduced impactFortunately, there are stronger grounds than ever for hoping that this will not happen.

This modification of the data set enabled the development of a much more robust prediction model (model 2) which predicted correctly the initial parts of the progress curves.

In paper [31] the author developed a prediction model which predicts what are different types of disease a diabetic patient can develop.

Each scheme is augmented with a prediction mechanism, which predicts the total maximum arrival rate and the maximum waiting time for each priority class based on the arrival rate in the current and last three measurement intervals.

In this study, we aim to understand the MOA of formulations used in traditional medicine using in silico target prediction tools, which predicts protein targets (hence, MOAs) given the chemical structure of a compound.

The in silico splicing analysis was performed using five different splice site prediction programs which predict changes in splice site strength.