destiny : diffusion maps for large-scale single-cell data in R is a research paper published in Bioinformatics (2015). On theSindex it has a DataRank of 0.981. It has been cited 689 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.981
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Medical Research Council
Grant: MR/M01536X/1
Wellcome Trust
Grant: unidentified
unidentified
Fields of Study
MeSH Terms
Keywords
Additional file 2 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 2 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 1 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 1 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 1 of Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis
Additional file 1 of Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis
Additional file 2 of Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis
Additional file 2 of Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis
Additional file 1 of scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis
Additional file 1 of scMuffin: an R package to disentangle solid tumor heterogeneity by single-cell gene expression analysis
Additional file 3 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 4 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 3 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 4 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 5 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells
Additional file 5 of Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells