Search alternatives:
algorithm heart » algorithm where (Expand Search), algorithm lennard (Expand Search), algorithm reality (Expand Search)
heart function » graft function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
algorithm heart » algorithm where (Expand Search), algorithm lennard (Expand Search), algorithm reality (Expand Search)
heart function » graft function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
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Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA.
Published 2023“…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …”
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Functional PCA With Covariate-Dependent Mean and Covariance Structure
Published 2022“…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …”
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Bioinformatic Analysis Reveals both Oversampled and Underexplored Biosynthetic Diversity in Nonribosomal Peptides
Published 2023“…Structural prediction algorithms for nonribosomal peptides (NRPs), the largest family of microbial natural products, lie at the heart of this new approach. …”
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