Handbook of Genetic Diagnostic Technologies in Reproductive Medicine
Improving Patient Success Rates and Infant Health
dc.contributor.editor | Simón, Carlos | |
dc.contributor.editor | Rubio, Carmen | |
dc.date.accessioned | 2022-06-11T04:01:11Z | |
dc.date.available | 2022-06-11T04:01:11Z | |
dc.date.issued | 2022 | |
dc.date.submitted | 2022-06-10T12:15:06Z | |
dc.identifier | https://library.oapen.org/handle/20.500.12657/56706 | |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/84120 | |
dc.description.abstract | 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 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.language | English | |
dc.rights | open access | |
dc.subject.classification | thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKC Gynaecology and obstetrics | en_US |
dc.subject.classification | thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFK Human reproduction, growth and development::MFKC Reproductive medicine | en_US |
dc.subject.classification | thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFN Medical genetics | en_US |
dc.subject.other | 2E, Diagnostic, Genetic, Handbook, Health, Imrpoving, Infant, Medicine, Patient, Rates, Reproductive, Success, Technologies | |
dc.title | Handbook of Genetic Diagnostic Technologies in Reproductive Medicine | |
dc.title.alternative | Improving Patient Success Rates and Infant Health | |
dc.type | book | |
oapen.identifier.doi | 10.1201/9781003024941 | |
oapen.relation.isPublishedBy | fa69b019-f4ee-4979-8d42-c6b6c476b5f0 | |
oapen.relation.hasChapter | Chapter 2 Genetics at the Cell Level | |
oapen.relation.isbn | 9780367457181 | |
oapen.relation.isbn | 9781032244907 | |
oapen.relation.isbn | 9781003024941 | |
oapen.imprint | CRC Press | |
oapen.review.comments | Taylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required). | |
oapen.peerreview | Proposal review | |
peerreview.review.type | Proposal | |
peerreview.anonymity | Single-anonymised | |
peerreview.reviewer.type | Internal editor | |
peerreview.reviewer.type | External peer reviewer | |
peerreview.review.stage | Pre-publication | |
peerreview.open.review | No | |
peerreview.publish.responsibility | Publisher | |
peerreview.id | bc80075c-96cc-4740-a9f3-a234bc2598f1 | |
peerreview.title | Proposal review |
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(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 ...