Publication date
April 2018
DOIAbstract
Implementation of GiniClust2, a tool created to discover rare and common cell types in single-cell gene expression data
Implementation of GiniClust2, a tool created to discover rare and common cell types in single-cell gene expression data
Heritability enrichment analyses pertaining to the sclinker paper (Jagadeesh, Dey et al 2022, in pre...
Over the last decade, important insights into the regulation of cellular responses to various stimul...
The datasets used in "Cell-type Annotation with Accurate Unseen Cell-type Identification Using Multi...
High-throughput single-cell technologies have great potential to discover new cell types; however, i...
Cluster 5 differentially expressed gene results for qPCR data from Guo et al. study. (XLSX 92Â kb
Cluster 2 differentially expressed gene results for single-cell RNA-seq data from Klein et al. study...
Single-cell analysis is a powerful tool for dissecting the cellular composition within a tissue or o...
While rare cell type identification is indispensable in single cell studies, powerful tools with hig...
A) tSNE representation of all cells with >500 detected genes and >2,000 UMI (unique molecular identi...
Overview of the major cell types detected in the single-cell dataset (resolution of 0.7). The total ...
Single cell data across multiple cell types in a given tissue are firstly imputed by SAVER-X and the...
(Left) Illustration of sc2MeNetDrug. (Right) The detailed data analysis pipeline of sc2MeNetDrug: (1...
## GMarsGT: For rare cell identification from matched scRNA-seq (snRNA-seq) and scATAC-seq (snATAC-s...
GapClust: a light-weight approach distinguishing rare cells from voluminous single cell expression p...
Codes and processed data to reproduce the analysis discussed in: Wegmann et Al., CellSIUS provides...
Heritability enrichment analyses pertaining to the sclinker paper (Jagadeesh, Dey et al 2022, in pre...
Over the last decade, important insights into the regulation of cellular responses to various stimul...
The datasets used in "Cell-type Annotation with Accurate Unseen Cell-type Identification Using Multi...
High-throughput single-cell technologies have great potential to discover new cell types; however, i...
Cluster 5 differentially expressed gene results for qPCR data from Guo et al. study. (XLSX 92Â kb
Cluster 2 differentially expressed gene results for single-cell RNA-seq data from Klein et al. study...
Single-cell analysis is a powerful tool for dissecting the cellular composition within a tissue or o...
While rare cell type identification is indispensable in single cell studies, powerful tools with hig...
A) tSNE representation of all cells with >500 detected genes and >2,000 UMI (unique molecular identi...
Overview of the major cell types detected in the single-cell dataset (resolution of 0.7). The total ...
Single cell data across multiple cell types in a given tissue are firstly imputed by SAVER-X and the...
(Left) Illustration of sc2MeNetDrug. (Right) The detailed data analysis pipeline of sc2MeNetDrug: (1...
## GMarsGT: For rare cell identification from matched scRNA-seq (snRNA-seq) and scATAC-seq (snATAC-s...
GapClust: a light-weight approach distinguishing rare cells from voluminous single cell expression p...
Codes and processed data to reproduce the analysis discussed in: Wegmann et Al., CellSIUS provides...
Heritability enrichment analyses pertaining to the sclinker paper (Jagadeesh, Dey et al 2022, in pre...
Over the last decade, important insights into the regulation of cellular responses to various stimul...
The datasets used in "Cell-type Annotation with Accurate Unseen Cell-type Identification Using Multi...
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