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Functional classifications of target genes were performed using the web-based program Database for Annotation, Visualization, and Integrated Discovery (DAVID) [ 44].
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Time-resolved multivariate classification of target type.
Time-resolved multivariate classification of target location.
(B) Average activation patterns31 supporting within-subject classification of target location from 200 350 ms post-onset, in Experiment 1 (Non-human faces, left) and Experiment 2 (Human faces, right) depending on target type (Exemplar target versus Category target).
(B) Average activation patterns31 supporting within-subject classification of target type from 100 250 ms post-onset, in Experiment 1 (Non-human faces, bottom) and Experiment 2 (Human faces, top) averaged over target locations.
Then, based on these nonlinear eigenspaces, the proposed method can perform the clustering of training HR patches in this subsection and the high-frequency component estimation, which simultaneously realizes the classification of target patches for realizing the adaptive reconstruction, in the following subsection.
Average posterior probability of a correct classification of target location, as a function of time.
The degradome analysis and the classification of target categories were performed using CleaveLand 2.0 [ 60].
Evolutionary classification of target proteins and their domains represents the most significant part of individual target web pages.
Annotation that was added or expanded on includes: 1) documented SNPs in the probe target, 2) probe binding specificity, 3) CpG classification of target sites and 4) gene feature classification of target sites.
Inevitably, our current classification of target genes is subject to change due to additions to the set of mammalian microRNAs, their target sites, and known 3'UTR isoforms.
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