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Andrea Rau

andreamrau
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Decks

Incorporating biological information into genomic prediction models
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43
Leveraging multi-omic data for integrative exploratory, predictive, and network analyses
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180
A randomized pairwise likelihood method for complex statistical inferences
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69
Leveraging multi-omic data for integrative exploratory, predictive, and network analyses
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25
Multi-omic integration for enhanced interpretability in exploratory analyses
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170
Mixture models as a useful tool for identifying co-expressed genes from RNA-seq data with coseq
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190
Integrative and interactive analyses of multi-omics data
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390
Individualized multi omic pathway deviation scores using multiple factor analysis
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220
Exploring drivers of gene expression in The Cancer Genome Atlas
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330
HDR defense presentation
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730

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