Correction to: scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1474-760X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Correction to: scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data ; volume:20 ; number:1 ; day:21 ; month:11 ; year:2019 ; pages:1 ; date:12.2019
Genome biology ; 20, Heft 1 (21.11.2019), 1, 12.2019
- Urheber
-
Li, Ruoxin
Quon, Gerald
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13059-019-1822-0
- URN
-
urn:nbn:de:101:1-2020031722183862747118
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Li, Ruoxin
- Quon, Gerald
- SpringerLink (Online service)
Ähnliche Objekte (12)
scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
Single-cell genomics to understand disease pathogenesis
Exploiting genomics to mitigate the public health impact of antimicrobial resistance
Sensitivity to sequencing depth in single-cell cancer genomics
Closing the gap: a roadmap to single‐cell regulatory genomics
Single-cell genomics: coming of age
Using single‐cell genomics to understand developmental processes and cell fate decisions
Non Equilibrium Physics of Single-Cell Genomics
Afforestation to mitigate climate change
Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types
Single-cell genomics of the candidate phylum Poribacteria
Application of Single-Cell Genomics in Cardiovascular Research
scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
Single-cell genomics to understand disease pathogenesis
Exploiting genomics to mitigate the public health impact of antimicrobial resistance
Sensitivity to sequencing depth in single-cell cancer genomics
Closing the gap: a roadmap to single‐cell regulatory genomics
Single-cell genomics: coming of age
Using single‐cell genomics to understand developmental processes and cell fate decisions
Non Equilibrium Physics of Single-Cell Genomics
Afforestation to mitigate climate change
Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types
Single-cell genomics of the candidate phylum Poribacteria
Application of Single-Cell Genomics in Cardiovascular Research
scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
Single-cell genomics to understand disease pathogenesis
Exploiting genomics to mitigate the public health impact of antimicrobial resistance
Sensitivity to sequencing depth in single-cell cancer genomics
Closing the gap: a roadmap to single‐cell regulatory genomics
Single-cell genomics: coming of age
Using single‐cell genomics to understand developmental processes and cell fate decisions
Non Equilibrium Physics of Single-Cell Genomics
Afforestation to mitigate climate change
Harnessing single-cell genomics to improve the physiological fidelity of organoid-derived cell types
Single-cell genomics of the candidate phylum Poribacteria