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Found 3 papers, 3 papers with code
DP-CGAN: Differentially Private Synthetic Data and Label Generation
Generative Adversarial Networks (GANs) are one of the well-known models to generate synthetic data including images, especially for research communities that cannot use original sensitive datasets because they are not publicly accessible.
Haplotype-aware graph indexes
The variation graph toolkit (VG) represents genetic variation as a graph.
Data Structures and Algorithms
Phylogenetic automata, pruning, and multiple alignment
We present an extension of Felsenstein's algorithm to indel models defined on entire sequences, without the need to condition on one multiple alignment.
