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...



We use cookies to improve your experience on our Website. We need cookies to continuously improve the services, to enable certain features and when embedding services or content of third parties, such as video player. By using our website, you agree to the use of cookies. We use different types of cookies. You can personalize your cookie settings here:

Show detail settings
Please find more information in our privacy statement.

There you may also change your settings later.