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An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction.
Yang, Yang; Walker, Timothy M; Kouchaki, Samaneh; Wang, Chenyang; Peto, Timothy E A; Crook, Derrick W; Clifton, David A.
Affiliation
  • Yang Y; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK.
  • Walker TM; Oxford-Suzhou Centre for Advanced Research, Suzhou, 215123, China.
  • Kouchaki S; Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
  • Wang C; Centre for vision, Speech, and Signal processing, University of Surrey, Guildford, UK.
  • Peto TEA; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK.
  • Crook DW; Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital Headley Way, OX3 9DU, Oxford, UK.
  • Clifton DA; NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way Headington, OX3 9DU, Oxford, UK.
Brief Bioinform ; 22(6)2021 11 05.
Article in En | MEDLINE | ID: mdl-34414415
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance, Bacterial / Mycobacterium tuberculosis / Antitubercular Agents Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance, Bacterial / Mycobacterium tuberculosis / Antitubercular Agents Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: Country of publication: