sparse2big – imputation and fusion of massive sparse data:
Large datasets often contain unobserved, missing or noisy entries. Only when dealing properly with these sparse datasets, we can achieve meaningful big data and in-depth insightful analyses. Sparse2big will advance many research areas, e.g. single cell genomics and remote sensing, by developing, evaluating and sharing methods for data imputation and integration. More...


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