Modulated and unmodulated stimuli had equal probability of presentation. Stimulus presentations were divided into three runs for each AMD with a total of 120 stimulus presentations for each AMD. To avoid fatigue, data for this paradigm were acquired in a separate session to the other tests. The ...
Developing Continuous Probability Distributions Theoretically & Finding Expected Values Probabilities as Areas of Geometric Regions: Definition & Examples 7:06 Normal Distribution | Curve, Table & Examples 11:40 Z Score | Definition, Equation & Example 6:30 Estimating Areas Under the Normal C...
And then MMGAT finds multiple ATAC-seq motifs based on the attention coefficients of sequence nodes and k-mer nodes as well as the coexisting probability of k-mers. Our approach achieved better performance on the human ATAC-seq datasets compared to existing tools, as evidenced the highest ...
A New Score to Determine the Probability of Finding an HLA Identical Unrelated Donor: A Validated Efficient Time and Cost Saving MethodAnti-human leukocyte antigen (HLA) antibodies are associated with several complications in solid organ transplantations, but their impact after allogeneic hematopoietic ...
The resulting algorithm generates a case-finding result of either further evaluation (based on the probability that score X belongs to the present Memory Clinic patient distribution) or watchful waiting (based on the probability that score X belongs to the present healthy control distribution) based ...
The filter defined in step 4 was physically motivated by the fact that TLS tend to originate from IS that are not too distant in order to have a reasonable tunneling probability. As such it is likely that those pairs of IS get explored one after the other during the exploration dynamics ...
The probability plot below displays the critical values and the rejection regions for a two-sided z-test with a significance level of 0.05. When the z-score is ≤ -1.96 or ≥ 1.96, it exceeds the cutoff, and your results are statistically significant. ...
Figure 6: Histograms created for each explanatory variable can show if they are strongly skewed. This type of model bias may be removed by applying log or exponential transformations that place data in it. The OLS tool computes both the probability and the robust probability for each explanatory...
They used these values to calculate Z-scores, 7Z =Sstr−μ/σwhere μ is the average score and σ the width of the distribution, and the corresponding probabilities, 8pv > Z= 1 −exp−exp−Zwhere p(v >Z) is the probability of finding a Z-score greater than Z by chance. ...
Given a current matrix A1, A0 is a copy of it where each element equal to 1 in A1 is set to 0 with a preset probability p. After generating A0, a perturbation unfolding process further refines it to remove annotations that, after the perturbation, are no longer consistent with the GO ...