@misc{10481/102443,
year = {2025},
url = {https://hdl.handle.net/10481/102443},
abstract = {Over the past few years, technological advances have allowed for measurement of omics data 
at the cell level, creating a new type of data generally referred to as single-cell (sc) omics. On 
the other hand, the so-called spatial omics are a family of techniques that generate biological 
information in a spatial domain, for instance, in the volume of a tissue. In this survey, we are 
mostly interested in the intersection between sc and spatial (scs) omics and in the challenges 
and opportunities that this new type of data pose for downstream data analysis methodologies. 
Our goal is to cover all major omics modalities, including transcriptomics, genomics, 
epigenomics, proteomics and metabolomics.},
organization = {MICIU/AEI/10.13039/501100011033 PID2023-1523010B-IOO},
organization = {European Regional Development Fund},
organization = {MSCA MAHOD-101106986},
publisher = {Elsevier},
keywords = {Single-cell},
keywords = {Spatial},
keywords = {Omics},
keywords = {Data Analysis},
keywords = {Computational},
title = {Single-cell spatial (scs) omics: Recent developments in data analysis},
doi = {10.1016/j.trac.2024.118109},
author = {Camacho Páez, José and Sorochan Armstrong, Michael and García Martínez, María Luz and Díaz, Caridad and Gómez Llorente, Carolina},
}