Mapping the transcriptome: Realizing the full potential of spatial data analysis.

Zormpas, Eleftherios; Queen, Rachel; Comber, Alexis; Cockell, Simon J

Zormpas, Eleftherios; Queen, Rachel; Comber, Alexis; Cockell, Simon J.

Afiliación

Zormpas E; Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Queen R; Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK; Bioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Comber A; School of Geography and Leeds Institute for Data Analytics, University of Leeds, Leeds LS2 9NL, UK.
Cockell SJ; Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK; School of Biomedical, Nutritional and Sport Sciences, Faculty of Medical Sciences, Newcastle upon Tyne NE2 4HH, UK. Electronic address: simon.cockell@newcastle.ac.uk.

Cell ; 186(26): 5677-5689, 2023 12 21.

Article en En | MEDLINE | ID: mdl-38065099

Asunto(s)

Análisis de Datos; Análisis Espacial; Transcriptoma; Biología Computacional; Perfilación de la Expresión Génica; Transcriptoma/genética

Palabras clave

geography; modifiable areal unit problem; omics; spatial analysis; spatial autocorrelation; spatial data; spatial heterogeneity; spatial transcriptomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transcriptoma / Análisis Espacial / Análisis de Datos Idioma: En Revista: Cell Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

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