K. Diéguez-Santana, G. Casañola-Martín, James R. Green, B. Rasulev
{"title":"Perturbation-Theory Machine Learning (PTML) Models for Predicting Metabolic Reaction Networks","authors":"K. Diéguez-Santana, G. Casañola-Martín, James R. Green, B. Rasulev","doi":"10.3390/mol2net-07-11195","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":136053,"journal":{"name":"Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/mol2net-07-11195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}