Work

Using metabolomic and transportomic modeling and machine learning to identify putative novel therapeutic targets for antibiotic resistant Pseudomonad infections

Year: 2014

Type: conference-paper

Source: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

DOI: 10.1109/embc.2014.6943592

Authors: Peter E. Larsen, Frank R. Collart, Yang Dai

Institutions: Argonne National Laboratory, University of Illinois Chicago

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: U.S. Department of Energy, Argonne National Laboratory

OpenAlex ID: W2317399170

FWCI: 0.278

Cites: 15

Cited by: 6

Related to: 10