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Article
Open AccessHarvestman: a framework for hierarchical feature learning and selection from whole genome sequencing data
Supervised learning from high-throughput sequencing data presents many challenges. For one, the curse of dimensionality often leads to overfitting as well as issues with scalability. This can bring about inacc...
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Article
Open AccessParsimonious reconstruction of network evolution
Understanding the evolution of biological networks can provide insight into how their modular structure arises and how they are affected by environmental changes. One approach to studying the evolution of thes...