Abstract

This study is to demonstrate a collaborative model for nursing researchers to participate in a multidisciplinary team obtaining various types of data emerging in modern biomedical research.

Author Details

Lin Lin, PhD, RN, School of Nursing, Department of Family Health Care Nursing, University of California, San Francisco, San Francisco, California, USA; San-Pin Wu; Jiang-Liang Li; Francesco DeMayo -- National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland, USA; Matthew Anderson, University of South Florida, Tampa, Florida, USA

Sigma Membership

Non-member

Type

Poster

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Enhancer, Myometrium, Parturition-associated Genome Variants

Conference Name

31st International Nursing Research Congress

Conference Host

Sigma Theta Tau International

Conference Location

Virtual Event

Conference Year

2020

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Acquisition

Proxy-submission

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Utilizing emerging technology to identify non-coding regulatory elements in human myometrial tissues

Virtual Event

This study is to demonstrate a collaborative model for nursing researchers to participate in a multidisciplinary team obtaining various types of data emerging in modern biomedical research.