- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Detection of cell markers from single cell RNA-seq with sc2marker ; volume:23 ; number:1 ; day:12 ; month:7 ; year:2022 ; pages:1-19 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (12.7.2022), 1-19, 12.2022
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-022-04817-5
- URN
-
urn:nbn:de:101:1-2022092715295238980390
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 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
- Li, Ronghui
- Banjanin, Bella
- Schneider, Rebekka K.
- Costa, Ivan G.
- SpringerLink (Online service)
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scCTS: identifying the cell type-specific marker genes from population-level single-cell RNA-seq
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Practical Compass of Single-Cell RNA-Seq Analysis
Phylogenetic inference from single-cell RNA-seq data
CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data
Detection of high variability in gene expression from single-cell RNA-seq profiling
Detection of novel fusion-transcripts by RNA-Seq in T-cell lymphoblastic lymphoma
Detection of cell markers from single cell RNA-seq with sc2marker
Detection of cell markers from single cell RNA-seq with sc2marker
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Detection and removal of barcode swapping in single-cell RNA-seq data
HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD)
scCTS: identifying the cell type-specific marker genes from population-level single-cell RNA-seq
Single-cell RNA-seq: advances and future challenges
Practical Compass of Single-Cell RNA-Seq Analysis
Phylogenetic inference from single-cell RNA-seq data
CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data
Detection of high variability in gene expression from single-cell RNA-seq profiling