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The mouse-specific effect ζ0 i represented the deviation of each mouse from the group intercept.
Y i represented the daily number of respiratory syndrome or ILI cases.
In this model, γ i represented the slope of the linear regression, and thus the expression change, for each inbred line i.
Where θ i represented the spatially structured random effects, which account for the spatial dependence with the prior distribution taken as a conditional intrinsic Gaussian autoregressive model.
The genomic model was displayed in Fig. 3a, where W i and X i represented the weight and log-intensity of the i-th gene in the gene set identified from training cohort.
Let X i denote the baseline predictors for ith subject and T i = minimum(D i, U i ) be the observed time, where D i was the time to POAG and U i represented the censoring time independent of D i. Let Δ i be the corresponding event indicator, with Δ i = 1 if POAG is observed and Δ i = 0 otherwise.
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The i represents the subbands.
e i represents the residual.
B i represent the mutually exclusive events.
Subscript i represents the tensor notation.
Here, parameter i represents the sensor node.
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Justyna Jupowicz-Kozak
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