Access and use the European prediction service for biological data
The DLOmix-serving is an open-source and modular machine learning (ML) inference server for biological data based on NVIDIA Triton [1]. The idea is to implement a standardized interface for accessing various prediction models, see [2, 3]. Furthermore, it can be hosted on different institutional sites using a standard Docker image for service robustness and throughput matters. Having the service in place, we expect increased usability and reproducibility of the prediction models. Here we show an example of using the services with the R ecosystem to predict retention time and fragment ions in proteomics experiments. We demonstrate how the models can be accessed from R using HTTP or the Triton client C++ library via Rcpp. Finally, we want to discuss the best way to integrate the client side into the Bioconductor landscape.
Date: Thursday, September 21, 2023
Presenting Author: Christian Panse
Short talks 5 | Ghent, Belgium
