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Handbook of Genetic Diagnostic Technologies in Reproductive Medicine

Improving Patient Success Rates and Infant Health

dc.contributor.editorSimón, Carlos
dc.contributor.editorRubio, Carmen
dc.date.accessioned2022-06-11T04:01:11Z
dc.date.available2022-06-11T04:01:11Z
dc.date.issued2022
dc.date.submitted2022-06-10T12:15:06Z
dc.identifierOCN: 1322841527
dc.identifierhttps://library.oapen.org/handle/20.500.12657/56706
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/84120
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.titleHandbook of Genetic Diagnostic Technologies in Reproductive Medicine
dc.title.alternativeImproving Patient Success Rates and Infant Health
dc.typebook
oapen.identifier.doi10.1201/9781003024941
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.hasChapterChapter 2 Genetics at the Cell Level
oapen.relation.isbn9780367457181
oapen.relation.isbn9781032244907
oapen.relation.isbn9781003024941
oapen.imprintCRC Press
peerreview.review.typeProposal
peerreview.anonymitySingle-anonymised
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.titleProposal review


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Chapters in this book

  • Chapter 2 Genetics at the Cell LevelPeer Reviewed
    Lorenzi, Valentina; Vento-Tormo, Roser (2022)
    Image-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 ...