BIBLIOGRAPHIC RECORD
Machine Learning to Assist in Large-Scale, Activity-Based Synthetic Cannabinoid Receptor Agonist Screening of Serum Samples
This record contains bibliographic metadata. Open the linked source to check the work; the record does not include its full text.
- Recorded authors
- Liesl K. Janssens; Dimitri Boeckaerts; Simon C. Hudson; Daria Morozova; Annelies Cannaert; David Michael Wood; Caitlin E. Wolfe; Bernard De Baets; Michiel Stock; Paul Ivor Dargan; Christophe Pol Stove
- Source of metadata
- OpenAlex
- Year recorded
- 2022
Public identifiers and source
Open the source recordReference
Liesl K. Janssens; Dimitri Boeckaerts; Simon C. Hudson; Daria Morozova; Annelies Cannaert; David Michael Wood; Caitlin E. Wolfe; Bernard De Baets; Michiel Stock; Paul Ivor Dargan; Christophe Pol Stove. (2022). Machine Learning to Assist in Large-Scale, Activity-Based Synthetic Cannabinoid Receptor Agonist Screening of Serum Samples. https://openalex.org/W4210446778
Reference assembled from the available metadata. Check and cite the original publication before reusing a claim.
Permanent record URL: https://brain.psiconautica.org/en/documentos/d-127f0aad2c69d2dabe9fbedfffbdb3a0/