CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
about
Splatter: simulation of single-cell RNA sequencing data.Impact of sequencing depth and read length on single cell RNA sequencing data of T cells.Leveraging blood and tissue CD4+ T cell heterogeneity at the single cell level to identify mechanisms of disease in rheumatoid arthritis.scRNASeqDB: A Database for RNA-Seq Based Gene Expression Profiles in Human Single Cells.Light-focusing human micro-lenses generated from pluripotent stem cells model lens development and drug-induced cataract in vitro.Application of single-cell sequencing in human cancer.Variation in Activity State, Axonal Projection, and Position Define the Transcriptional Identity of Individual Neocortical Projection Neurons.The Human Cell Atlas: Technical approaches and challenges.Two-phase differential expression analysis for single cell RNA-seq.An interpretable framework for clustering single-cell RNA-Seq datasets.An accurate and robust imputation method scImpute for single-cell RNA-seq data.netSmooth: Network-smoothing based imputation for single cell RNA-seq.Single Cell Multi-Omics Technology: Methodology and Application.DrImpute: imputing dropout events in single cell RNA sequencing data.Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data.A systematic performance evaluation of clustering methods for single-cell RNA-seq dataA Single-Cell Sequencing Guide for ImmunologistsSingle-Cell Profiling Identifies Key Pathways Expressed by iPSCs Cultured in Different Commercial MediaGraphDDP: a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledgeComparison of clustering tools in R for medium-sized 10x Genomics single-cell RNA-sequencing data
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P2860
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
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name
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
@ast
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
@en
type
label
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
@ast
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
@en
prefLabel
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
@ast
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
@en
P2860
P1433
P1476
CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
@en
P2093
Michael Troup
Peijie Lin
P2860
P2888
P356
10.1186/S13059-017-1188-0
P50
P577
2017-03-28T00:00:00Z
P6179
1084252051