Classification of target tissues of Eisenia fetida using sequential multimodal chemical analysis and machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1432-119X
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Classification of target tissues of Eisenia fetida using sequential multimodal chemical analysis and machine learning ; day:8 ; month:11 ; year:2021 ; pages:1-11
Histochemistry and cell biology ; (8.11.2021), 1-11
- Urheber
-
Ritschar, Sven
Schirmer, Elisabeth
Hufnagl, Benedikt
Löder, Martin G. J.
Römpp, Andreas
Laforsch, Christian
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00418-021-02037-1
- URN
-
urn:nbn:de:101:1-2022012120593960873428
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
Datenpartner
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Beteiligte
- Ritschar, Sven
- Schirmer, Elisabeth
- Hufnagl, Benedikt
- Löder, Martin G. J.
- Römpp, Andreas
- Laforsch, Christian
- SpringerLink (Online service)
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Spatial multimodal analysis of transcriptomes and metabolomes in tissues
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