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Found 3 papers, 2 papers with code
CustOmics: A versatile deep-learning based strategy for multi-omics integration
Recent advances in high-throughput sequencing technologies have enabled the extraction of multiple features that depict patient samples at diverse and complementary molecular levels.
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
We show that the identification of the magnification level for tiles can generate a preliminary self-supervision signal to locate nuclei.
Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting
Moreover, CPDAGs obtained by COPC-algorithm allowed removing non-chronologic arrows with a variable measured at a time t pointing to a variable measured at a time t' where t'< t. Bidirected edges were less present in CPDAGs obtained with the COPC-algorithm, supporting the fact that there was less variability in causal effects estimated from these CPDAGs.
