Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data is a research paper published in Frontiers in Genetics (2022). On theSindex it has a DataRank of 0.604. It has been cited 55 times.
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Base Score Contribution
0.604
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.
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Grant: R01 LM012806
FWCI
3.84
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of The effect of data transformation on low-dimensional integration of single-cell RNA-seq
Additional file 1 of The effect of data transformation on low-dimensional integration of single-cell RNA-seq
Additional file 1 of Biclustering analysis on tree-shaped time-series single cell gene expression data of Caenorhabditis elegans
Additional file 1 of Biclustering analysis on tree-shaped time-series single cell gene expression data of Caenorhabditis elegans
Additional file 1 of CDSKNNXMBD: a novel clustering framework for large-scale single-cell data based on a stable graph structure
Additional file 1 of CDSKNNXMBD: a novel clustering framework for large-scale single-cell data based on a stable graph structure
Additional file 2 of CDSKNNXMBD: a novel clustering framework for large-scale single-cell data based on a stable graph structure
Additional file 2 of CDSKNNXMBD: a novel clustering framework for large-scale single-cell data based on a stable graph structure