Ontology highlight
ABSTRACT:
SUBMITTER: Andronov M
PROVIDER: S-EPMC8600617 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature
Andronov Mikhail M Fedorov Maxim V MV Sosnin Sergey S
ACS omega 20211103 45
Humans prefer visual representations for the analysis of large databases. In this work, we suggest a method for the visualization of the chemical reaction space. Our technique uses the t-SNE approach that is parameterized using a deep neural network (parametric t-SNE). We demonstrated that the parametric t-SNE combined with reaction difference fingerprints could provide a tool for the projection of chemical reactions on a low-dimensional manifold for easy exploration of reaction space. We showed ...[more]