Your browser doesn't support javascript.
loading
Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions.
Alazmi, Meshari; Kuwahara, Hiroyuki; Soufan, Othman; Ding, Lizhong; Gao, Xin.
Affiliation
  • Alazmi M; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Thuwal, Saudi Arabia.
  • Kuwahara H; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Thuwal, Saudi Arabia.
  • Soufan O; Institute of Parasitology, McGill University, Montreal, Quebec, Canada.
  • Ding L; Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE.
  • Gao X; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Thuwal, Saudi Arabia.
Bioinformatics ; 35(15): 2634-2643, 2019 08 01.
Article in En | MEDLINE | ID: mdl-30590445
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Software / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Type: Article Affiliation country: Saudi Arabia
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Software / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2019 Type: Article Affiliation country: Saudi Arabia