Your browser doesn't support javascript.
loading
Laboratory Automated Interrogation of Data: an interactive web application for visualization of multilevel data from biological experiments.
Dando, Owen R; Kozic, Zrinko; Booker, Sam A; Hardingham, Giles E; Kind, Peter C.
Affiliation
  • Dando OR; Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, EH8 9XD, UK.
  • Kozic Z; Patrick Wild Centre, University of Edinburgh, Edinburgh, EH8 9XD, UK.
  • Booker SA; UK Dementia Research Institute, University of Edinburgh, Edinburgh, EH16 4SB, UK.
  • Hardingham GE; Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK.
  • Kind PC; Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, EH8 9XD, UK.
Brain Commun ; 6(2): fcae074, 2024.
Article in En | MEDLINE | ID: mdl-38482372
ABSTRACT
A key step in understanding the results of biological experiments is visualization of the data. Many laboratory experiments contain a range of measurements that exist within a hierarchy of interdependence. An automated and facile way to visualize and interrogate such multilevel data, across many experimental variables, would (i) lead to improved understanding of the results, (ii) help to avoid misleading interpretation of statistics and (iii) easily identify outliers and sources of batch and confounding effects. While many excellent graphing solutions already exist, they are often geared towards the production of publication-ready plots and the analysis of a single variable at a time, require programming expertise or are unnecessarily complex for the task at hand. Here, we present Laboratory Automated Interrogation of Data (LAB-AID), an interactive tool specifically designed to automatically visualize and query hierarchical data resulting from biological experiments.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Brain Commun Year: 2024 Document type: Article Affiliation country: Reino Unido