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CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
Predicting phenotype from scRNA-seq is challenging for standard machine learning methods -- the number of cells measured can vary by orders of magnitude across individuals and the cell populations are also highly heterogeneous.
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures
Each human genome is a 3 billion base pair set of encoding instructions.
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