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Article
Open AccessUsing transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data
In many research areas scientists are interested in clustering objects within small datasets while making use of prior knowledge from large reference datasets. We propose a method to apply the machine learning...
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Article
Open AccessCombining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies
The standard approach to the analysis of genome-wide association studies (GWAS) is based on testing each position in the genome individually for statistical significance of its association with the phenotype u...
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Article
Open AccessFFCA: a feasibility-based method for flux coupling analysis of metabolic networks
Flux coupling analysis (FCA) is a useful method for finding dependencies between fluxes of a metabolic network at steady-state. FCA classifies reactions into subsets (called coupled reaction sets) in which act...
