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dc.contributor.authorCamacho Páez, José 
dc.contributor.authorSorochan Armstrong, Michael
dc.contributor.authorGarcía Martínez, María Luz 
dc.contributor.authorDíaz, Caridad
dc.contributor.authorGómez Llorente, Carolina 
dc.date.accessioned2025-02-18T08:41:30Z
dc.date.available2025-02-18T08:41:30Z
dc.date.issued2025
dc.identifier.citationPublished version: Camacho Páez, José et al. TrAC Trends in Analytical Chemistry Volume 183, February 2025, 118109. https://doi.org/10.1016/j.trac.2024.118109es_ES
dc.identifier.urihttps://hdl.handle.net/10481/102443
dc.descriptionThis work was supported by grant no. PID2023-1523010B-IOO (MuSTARD), funded by the Agencia Estatal de Investigación in Spain, call no. MICIU/AEI/10.13039/501100011033, and by the European Regional Development Fund. Michael Sorochan Armstrong was funded through the MSCA program, project: MAHOD-101106986.es_ES
dc.description.abstractOver 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.es_ES
dc.description.sponsorshipMICIU/AEI/10.13039/501100011033 PID2023-1523010B-IOOes_ES
dc.description.sponsorshipEuropean Regional Development Fundes_ES
dc.description.sponsorshipMSCA MAHOD-101106986es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSingle-celles_ES
dc.subjectSpatiales_ES
dc.subjectOmicses_ES
dc.subjectData Analysises_ES
dc.subjectComputational es_ES
dc.titleSingle-cell spatial (scs) omics: Recent developments in data analysises_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.trac.2024.118109


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