Cargando…
Visualising disease trajectories from population-wide data
Autores principales: | Hjaltelin, Jessica Xin, Currant, Hannah, Jørgensen, Isabella Friis, Brunak, Søren |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946689/ https://www.ncbi.nlm.nih.gov/pubmed/36844930 http://dx.doi.org/10.3389/fbinf.2023.1112113 |
Ejemplares similares
-
Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
por: Siggaard, Troels, et al.
Publicado: (2020) -
Pancreatic cancer symptom trajectories from Danish registry data and free text in electronic health records
por: Hjaltelin, Jessica Xin, et al.
Publicado: (2023) -
Plant data visualisation using network graphs
por: Mohamad-Matrol, Afrina Adlyna, et al.
Publicado: (2018) -
ShapoGraphy: A User-Friendly Web Application for Creating Bespoke and Intuitive Visualisation of Biomedical Data
por: Khawatmi, Muhammed, et al.
Publicado: (2022) -
CIAlign: A highly customisable command line tool to clean, interpret and visualise multiple sequence alignments
por: Tumescheit, Charlotte, et al.
Publicado: (2022)