Author
National University of SingaporeORCID 0000-0003-1839-7504Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Martin Schmitz, Leon Rauschning, Kenji Kawaguchi, Mile Šikić
This paper introduces grapHiC, a contrastive learning framework for reference-free haplotype phasing in de novo genome assembly, achieving results comparable to state-of-the-art methods.
Martin Schmitz, Lovro Vrček, Kenji Kawaguchi, Mile Šikić
DipGNNome introduces a deep learning framework for diploid genome assembly using graph neural networks and beam-search, achieving results comparable to state-of-the-art methods.
Lovro Vrček, Xavier Bresson, Thomas Laurent…·Mile Šikić
This paper introduces GNNome, a geometric deep learning framework for de novo genome assembly that improves contiguity compared to existing tools across multiple species.