CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1474-760X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data ; volume:18 ; number:1 ; day:28 ; month:3 ; year:2017 ; pages:1-11 ; date:12.2017
Genome biology ; 18, Heft 1 (28.3.2017), 1-11, 12.2017
- Classification
-
Biowissenschaften, Biologie
- Creator
-
Lin, Peijie
- Contributor
-
Troup, Michael
Ho, Joshua W. K.
SpringerLink (Online service)
- DOI
-
10.1186/s13059-017-1188-0
- URN
-
urn:nbn:de:1111-2017041512587
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 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
- Lin, Peijie
- Troup, Michael
- Ho, Joshua W. K.
- SpringerLink (Online service)
Other Objects (12)
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Evaluating imputation methods for single-cell RNA-seq data
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data
An accurate and robust imputation method scImpute for single-cell RNA-seq data
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion
Single-cell RNA-seq: advances and future challenges
Practical Compass of Single-Cell RNA-Seq Analysis
Phylogenetic inference from single-cell RNA-seq data
scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information
CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
Correction: Practical Compass of Single-Cell RNA-Seq Analysis
Genotype-free demultiplexing of pooled single-cell RNA-seq
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Evaluating imputation methods for single-cell RNA-seq data
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data
An accurate and robust imputation method scImpute for single-cell RNA-seq data
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion
Single-cell RNA-seq: advances and future challenges
Practical Compass of Single-Cell RNA-Seq Analysis
Phylogenetic inference from single-cell RNA-seq data
scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information
CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
Correction: Practical Compass of Single-Cell RNA-Seq Analysis
Genotype-free demultiplexing of pooled single-cell RNA-seq
SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data
Evaluating imputation methods for single-cell RNA-seq data
AutoImpute: Autoencoder based imputation of single-cell RNA-seq data
An accurate and robust imputation method scImpute for single-cell RNA-seq data
ScLRTC: imputation for single-cell RNA-seq data via low-rank tensor completion
Single-cell RNA-seq: advances and future challenges
Practical Compass of Single-Cell RNA-Seq Analysis
Phylogenetic inference from single-cell RNA-seq data
scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information
CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq
Correction: Practical Compass of Single-Cell RNA-Seq Analysis