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Found 4 papers, 1 papers with code
Predicting potential drug targets and repurposable drugs for COVID-19 via a deep generative model for graphs
Here, we combine three networks, two of which are year-long curated, and one of which, on SARS-CoV-2-human host-virus protein interactions, was published only most recently (30th of April 2020), raising a novel network that puts drugs, human and virus proteins into mutual context.
A Drug Recommendation System (Dr.S) for cancer cell lines
Our goal is to develop a method to identify the drug that is most promising based on a cell line's genomic information.
An image representation based convolutional network for DNA classification
The folding structure of the DNA molecule combined with helper molecules, also referred to as the chromatin, is highly relevant for the functional properties of DNA.
Generic identification of binary-valued hidden Markov processes
The generic identification problem is to decide whether a stochastic process $(X_t)$ is a hidden Markov process and if yes to infer its parameters for all but a subset of parametrizations that form a lower-dimensional subvariety in parameter space.
