Using non-coding RNAs and proteins to predict acute kidney injury in heart failure
2021 doctoral thesis by Evelyn Mary Templeton at University of Otago
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Using non-coding RNAs and proteins to predict acute kidney injury in heart failure
Summary
Using non-coding RNAs and proteins to predict acute kidney injury in heart failure is a doctoral thesis[1].
Key Facts
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure authored Evie Templeton[2].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's instance of is recorded as doctoral thesis[3].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's publisher is recorded as OUR Archive[4].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's language of work or name is recorded as English[5].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's country of origin is recorded as New Zealand[6].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's publication date is recorded as +2021-00-00T00:00:00Z[7].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's main subject is recorded as microRNA[8].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's main subject is recorded as proteomics[9].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's main subject is recorded as data-independent acquisition[10].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's work available at URL is recorded as https://ourarchive.otago.ac.nz/handle/10523/12004[11].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's Handle ID is recorded as 10523/12004[12].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's title is recorded as Using non-coding RNAs and proteins to predict acute kidney injury in heart failure[13].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's copyright holder is recorded as Evie Templeton[14].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's thesis submitted to is recorded as University of Otago[15].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's on focus list of Wikimedia project is recorded as NZThesisProject[16].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's copyright status is recorded as copyrighted[17].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's thesis committee member is recorded as John Pickering[18].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's thesis committee member is recorded as Anna Pilbrow[19].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's thesis committee member is recorded as Vicky Cameron[20].
- Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's thesis committee member is recorded as Moritz Lassé[21].
Body
Designation and Status
Using non-coding RNAs and proteins to predict acute kidney injury in heart failure's instance of is recorded as doctoral thesis[3].