Gadhoumi et al. presented an iEEG-based seizure prediction method based on measuring the similarity with a reference state as shown in Figure 8[54].
The current study focused on this kind of samples - either with a low leukemic blast load, poor quality control criteria or both - and the ability to identify favorable-risk karyotype AMLs in such situations, using microarray-based GEP and a class prediction method based on GGA.
In this work, we present one such poly(A) motif prediction method based on properties of human genomic DNA sequence surrounding a poly(A) motif.
(D ) The trial-type prediction method based on firing rate was used to predict trial type from spiking activity (A, bottom) in conjunction with decoded locations as a maximum a posteriori probability for every time window (B ), and the trial-type-specific firing probability map (E ).
We develop and evaluate a new gene function prediction method based on gene-gene interacting networks, which can predict gene function well for a large number of human genes.
We developed a gene function prediction method based on spatial gene-gene interaction networks, which predicts the function of a gene using the known functions of its spatially interacted neighbours (see Methods section for details).
Trial types predicted from the replays occurring at the junction (C, bottom) using the prediction method based on firing rates were accurate on the whole.
In order to solve the difficulty of predicting very high cycle fatigue (VHCF) life of fiber reinforced plastic (FRP), a prediction method based on surface crack density is presented in this paper.
Therefore, using a prediction method based on these firing rates (Allen et al., 2012), I predicted trial type from the firing rate pattern across place cells in conjunction with the decoded path.
A fatigue life prediction method based on strain is proposed.
Widodo, et al [128], proposed a prediction method based on survival analysis and SVM.
