Visual cohort comparison for spatial single-cell omics-data
Spatially-resolved omics-data enable researchers to precisely distinguish cell types in tissue and explore their spatial interactions, enabling deep understanding of tissue functionality. To understand what causes or deteriorates a disease and identify related biomarkers, clinical researchers regula...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 27(2021), 2 vom: 28. Feb., Seite 733-743
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| Auteur principal: |
Somarakis, Antonios
(Auteur) |
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| Autres auteurs: |
Ijsselsteijn, Marieke E,
Luk, Sietse J,
Kenkhuis, Boyd,
de Miranda, Noel F C C,
Lelieveldt, Boudewijn P F,
Hollt, Thomas |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2021
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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