Accelerating bioinformatics research with International Conference on Intelligent Biology and Medicine 2020.

Guo, Yan; Shen, Li; Shi, Xinghua; Wang, Kai; Dai, Yulin; Zhao, Zhongming

Guo, Yan; Shen, Li; Shi, Xinghua; Wang, Kai; Dai, Yulin; Zhao, Zhongming.

Guo Y; Department of Internal Medicine, Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA. yaguo@salud.unm.edu.
Shen L; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Shi X; Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, PA, 19122, USA.
Wang K; Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Dai Y; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Zhao Z; Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA. zhongming.zhao@uth.tmc.edu.

BMC Bioinformatics ; 21(Suppl 21): 563, 2020 Dec 28.

Artículo en Inglés | MEDLINE | ID: covidwho-992442

ABSTRACT

ABSTRACT

The International Association for Intelligent Biology and Medicine (IAIBM) is a nonprofit organization that promotes intelligent biology and medical science. It hosts an annual International Conference on Intelligent Biology and Medicine (ICIBM), which was initially established in 2012. Due to the coronavirus (COVID-19) pandemic, the ICIBM 2020 was held for the first time as a virtual online conference on August 9 to 10. The virtual conference had ~ 300 registered participants and featured 41 online real-time presentations. ICIBM 2020 received a total of 75 manuscript submissions, and 12 were selected to be published in this special issue of BMC Bioinformatics. These 12 manuscripts cover a wide range of bioinformatics topics including network analysis, imaging analysis, machine learning, gene expression analysis, and sequence analysis.

Asunto(s)

Biología Computacional/métodos; Congresos como Asunto; Internacionalidad; Medicina; Investigación; COVID-19; Regulación de la Expresión Génica; Redes Reguladoras de Genes; Humanos; Aprendizaje Automático; SARS-CoV-2; Análisis de Secuencia

Palabras clave

Gene expression; Imaging; Machine learning; Network

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Investigación / Congresos como Asunto / Biología Computacional / Internacionalidad / Medicina Límite: Humanos Idioma: Inglés Revista: BMC Bioinformatics Asunto de la revista: Informática Médica Año: 2020 Tipo del documento: Artículo País de afiliación: S12859-020-03890-y

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