Your browser doesn't support javascript.
loading
Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII.
Leaman, Robert; Islamaj, Rezarta; Adams, Virginia; Alliheedi, Mohammed A; Almeida, João Rafael; Antunes, Rui; Bevan, Robert; Chang, Yung-Chun; Erdengasileng, Arslan; Hodgskiss, Matthew; Ida, Ryuki; Kim, Hyunjae; Li, Keqiao; Mercer, Robert E; Mertová, Lukrécia; Mobasher, Ghadeer; Shin, Hoo-Chang; Sung, Mujeen; Tsujimura, Tomoki; Yeh, Wen-Chao; Lu, Zhiyong.
Afiliación
  • Leaman R; National Center for Biotechnology Information (NCBI), National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA.
  • Islamaj R; National Center for Biotechnology Information (NCBI), National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA.
  • Adams V; NVIDIA, 2788 San Tomas Expressway, Santa Clara, CA 95051, USA.
  • Alliheedi MA; Department of Computer Science, Al Baha University, 4781 King Fahd Rd, Al Aqiq 65779, Saudi Arabia.
  • Almeida JR; Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, Campus Universitário de Santiago, Aveiro 3810-193, Portugal.
  • Antunes R; Department of Information and Communications Technologies, University of A Coruña, Camiño do Lagar de Castro, A Coruña 15008, Spain.
  • Bevan R; Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Informatics Engineering of Aveiro (IEETA), University of Aveiro, Campus Universitário de Santiago, Aveiro 3810-193, Portugal.
  • Chang YC; Informatics Department, Medicines Discovery Catapult, Alderley Park, Block 35, Mereside, Macclesfield SK10 4ZF, UK.
  • Erdengasileng A; Graduate Institute of Data Science, Taipei Medical University, No. 172-1, Section 2, Keelung Rd, Da'an District, Taipei City , Taipei 106, Taiwan.
  • Hodgskiss M; Department of Statistics, Florida State University, 117 N. Woodward Ave, Tallahassee, FL 32306, USA.
  • Ida R; Informatics Department, Medicines Discovery Catapult, Alderley Park, Block 35, Mereside, Macclesfield SK10 4ZF, UK.
  • Kim H; Computational Intelligence Laboratory, Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Aichi 468-8511, Japan.
  • Li K; Department of Computer Science and Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, South Korea.
  • Mercer RE; Department of Statistics, Florida State University, 117 N. Woodward Ave, Tallahassee, FL 32306, USA.
  • Mertová L; Department of Computer Science, The University of Western Ontario, Room 355, Middlesex College, Ontario , London N6A 5B7, Canada.
  • Mobasher G; Scientific Databases and Visualization Group, Heidelberg Institute for Theoretical Studies (HITS gGmbH), Schloss-Wolfsbrunnenweg 35, Heidelberg 69118, Germany.
  • Shin HC; Scientific Databases and Visualization Group, Heidelberg Institute for Theoretical Studies (HITS gGmbH), Schloss-Wolfsbrunnenweg 35, Heidelberg 69118, Germany.
  • Sung M; Institute of Computer Science, Heidelberg University, Im Neuenheimer Feld 205, Heidelberg 69120, Germany.
  • Tsujimura T; NVIDIA, 2788 San Tomas Expressway, Santa Clara, CA 95051, USA.
  • Yeh WC; Department of Computer Science and Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, South Korea.
  • Lu Z; Computational Intelligence Laboratory, Toyota Technological Institute, 2-12-1 Hisakata, Tempaku-ku, Nagoya, Aichi 468-8511, Japan.
Database (Oxford) ; 20232023 03 07.
Article en En | MEDLINE | ID: mdl-36882099
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Database (Oxford) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Database (Oxford) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos