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Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data

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Source data and supervised classification models testedFerrets (n = 717) were inoculated with an extensive panel of 125 unique influenza A viruses (Supplemental Table 1) by standard...
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SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations | BMC Bioinformatics

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We first introduce SAFER, which stands for sub-hypergraph attention-based neural network for predicting effective responses to dose combinations. Then, we describe each component of...
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Multioviz: an interactive platform for in silico perturbation and interrogation of gene regulatory networks | BMC Bioinformatics

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Demonstration of Multioviz on real dataTo demonstrate the utility of Multioviz, we apply the software to real genetic data from a heterogeneous stock of...
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Feature selection followed by a novel residuals-based normalization that includes variance stabilization simplifies and improves single-cell gene expression analysis | BMC Bioinformatics

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Genes with small counts exhibit quasi-Poisson varianceGenes with low mean expression levels show Poisson-like variance of their countsAs pointed out by Sarkar and Stephens...
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Effective type label-based synergistic representation learning for biomedical event trigger detection | BMC Bioinformatics

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Figure 3 shows the overall architecture of the proposed Biomedical Label-based Synergistic representation Learning (BioLSL) model for biomedical event trigger detection. The proposed BioLSL model...
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