1 code implementation • 28 Aug 2023 • Haoyang Yao, Laurence Yang
The genome-scale metabolic model with protein constraint (PC-model) has been increasingly popular for microbial metabolic simulations.
1 code implementation • 29 Oct 2020 • Hao Xu, Shengqi Sang, Peizhen Bai, Laurence Yang, Haiping Lu
Heterogeneous graph representation learning aims to learn low-dimensional vector representations of different types of entities and relations to empower downstream tasks.
1 code implementation • 11 Jul 2018 • Laurence Yang, Michael A. Saunders, Jean-Christophe Lachance, Bernhard O. Palsson, José Bento
The latter approach is important because often the known/observed biochemical reactions are not enough to explain observations, and hence there is a need to extend automatically the model complexity by learning new chemical reactions.