Computational Strategies and Algorithms for Inferring Cellular Composition of Spatial Transcriptomics Data.
Genomics Proteomics Bioinformatics
; 2024 Aug 07.
Article
en En
| MEDLINE
| ID: mdl-39110523
ABSTRACT
Spatial transcriptomics technology has been an essential and powerful method for delineating tissue architecture at the molecular level. However, due to the limitations of the current spatial techniques, the cellular information cannot be directly measured but instead spatial spots typically varying from a diameter of 0.2 to 100 µm are characterized. Therefore, it is vital to apply computational strategies for inferring the cellular composition within each spatial spot. The main objective of this review is to summarize the most recent progresses to estimate the exact cellular proportions for each spatial spot, and to prospect the future directions of this field.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Genomics Proteomics Bioinformatics
Asunto de la revista:
BIOQUIMICA
/
GENETICA
/
INFORMATICA MEDICA
Año:
2024
Tipo del documento:
Article
País de afiliación:
China