Your browser doesn't support javascript.
loading
SIMON: Open-Source Knowledge Discovery Platform.
Tomic, Adriana; Tomic, Ivan; Waldron, Levi; Geistlinger, Ludwig; Kuhn, Max; Spreng, Rachel L; Dahora, Lindsay C; Seaton, Kelly E; Tomaras, Georgia; Hill, Jennifer; Duggal, Niharika A; Pollock, Ross D; Lazarus, Norman R; Harridge, Stephen D R; Lord, Janet M; Khatri, Purvesh; Pollard, Andrew J; Davis, Mark M.
Afiliação
  • Tomic A; Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.
  • Tomic I; Institute of Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, USA.
  • Waldron L; Deep Medicine, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
  • Geistlinger L; Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA.
  • Kuhn M; Institute for Implementation Science and Population Health, City University of New York, New York, NY, USA.
  • Spreng RL; Graduate School of Public Health and Health Policy, City University of New York, New York, NY, USA.
  • Dahora LC; Institute for Implementation Science and Population Health, City University of New York, New York, NY, USA.
  • Seaton KE; RStudio, PBC, Boston, MA, USA.
  • Tomaras G; Duke Human Vaccine Institute, Duke University, Durham, NC, USA.
  • Hill J; Duke Human Vaccine Institute, Duke University, Durham, NC, USA.
  • Duggal NA; Duke Human Vaccine Institute, Duke University, Durham, NC, USA.
  • Pollock RD; Duke Human Vaccine Institute, Duke University, Durham, NC, USA.
  • Lazarus NR; Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.
  • Harridge SDR; MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham Research Labs, Birmingham, UK.
  • Lord JM; Centre for Human and Applied Physiological Sciences, King's College London, UK.
  • Khatri P; Centre for Human and Applied Physiological Sciences, King's College London, UK.
  • Pollard AJ; Centre for Human and Applied Physiological Sciences, King's College London, UK.
  • Davis MM; MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham Research Labs, Birmingham, UK.
Patterns (N Y) ; 2(1): 100178, 2021 Jan 08.
Article em En | MEDLINE | ID: mdl-33511368
ABSTRACT
Data analysis and knowledge discovery has become more and more important in biology and medicine with the increasing complexity of biological datasets, but the necessarily sophisticated programming skills and in-depth understanding of algorithms needed pose barriers to most biologists and clinicians to perform such research. We have developed a modular open-source software, SIMON, to facilitate the application of 180+ state-of-the-art machine-learning algorithms to high-dimensional biomedical data. With an easy-to-use graphical user interface, standardized pipelines, and automated approach for machine learning and other statistical analysis methods, SIMON helps to identify optimal algorithms and provides a resource that empowers non-technical and technical researchers to identify crucial patterns in biomedical data.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article