Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2164
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions ; volume:19 ; number:2 ; day:9 ; month:5 ; year:2018 ; pages:147-159 ; date:5.2018
BMC genomics ; 19, Heft 2 (9.5.2018), 147-159, 5.2018
- Creator
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Choi, Yoonha
- Contributor
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Liu, Tiffany Ting
Pankratz, Daniel G.
Colby, Thomas V.
Barth, Neil M.
Lynch, David A.
Walsh, P. Sean
Raghu, Ganesh
Kennedy, Giulia C.
Huang, Jing
SpringerLink (Online service)
- DOI
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10.1186/s12864-018-4467-6
- URN
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urn:nbn:de:101:1-2018071421322958161762
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Choi, Yoonha
- Liu, Tiffany Ting
- Pankratz, Daniel G.
- Colby, Thomas V.
- Barth, Neil M.
- Lynch, David A.
- Walsh, P. Sean
- Raghu, Ganesh
- Kennedy, Giulia C.
- Huang, Jing
- SpringerLink (Online service)
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mitgeteilt von Jing Huang
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A thermodynamic investigation of amyloid precursor protein processing by human γ-secretase
Self‐Assembled Artificial DNA Nanocompartments and Their Bioapplications
Study on reservoir time-varying design flood of inflow based on Poisson process with time-dependent parameters
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