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dc.contributor.authorLorenzi, Valentina
dc.contributor.authorVento-Tormo, Roser
dc.date.accessioned2025-03-07T17:50:20Z
dc.date.available2025-03-07T17:50:20Z
dc.date.issued2022
dc.date.submitted2022-06-10T12:21:26Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/56707
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/160750
dc.description.abstractImage-based and sequencing-based spatial technologies can currently be used to locate cells anatomically within a tissue; the Human Vell Atlas allows its users to navigate the human body at various levels of resolution to identify patterns and interactions among its fundamental elements, zooming in and out depending on the research goals. Integrating data types or simultaneously measuring multiple modalities is invaluable when defining cell identities.
dc.languageEnglish
dc.rightsopen access
dc.subject.other2E, Diagnostic, Genetic, Handbook, Health, Imrpoving, Infant, Medicine, Patient, Rates, Reproductive, Success, Technologies
dc.titleChapter 2 Genetics at the Cell Level
dc.title.alternativeThe Human Cell Atlas
dc.typechapter
oapen.identifier.doi10.1201/9781003024941-2
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.isPartOfBooka280f948-fd06-42e6-a30b-316069d82f62
oapen.relation.isbn9780367457181
oapen.relation.isbn9781032244907
oapen.imprintCRC Press
oapen.pages14
dc.anonymitySingle-anonymised
dc.peerreviewidbc80075c-96cc-4740-a9f3-a234bc2598f1
dc.peerreviewtitleProposal review
dc.openreviewNo
dc.responsibilityPublisher
dc.stagePre-publication
dc.reviewtypeProposal
dc.reviewertypeInternal editor
dc.reviewertypeExternal peer reviewer


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