Data consist of three omic blocks from The Cancer Genome Atlas (TCGA), containing whole-genome profiles of -Gene expression (file GE.RData), -DNA methylation (file METH.RData), and -Copy number va
Data accompanying publication "LineaMapper: a deep learning-powered tool for mapping linear surface features on Europa" (Haslebacher et al., Icarus, 2023, https://doi.org/10.1016/j.icarus.2023.115722)
Automatically Generated Segmentation Masks for Data Science Bowl Cardiac Challenge Data These segmentation masks have been automatically generated with the ukbb_cardiac network by Bai et al. (2018,
In this repository, we provide the latent space images for the BAGLS (Gómez, Kist et al., Sci Data 2020, available at www.bagls.org) training dataset. We further provide a pre-trained deep neural netw
