external single cell datasets Search Results


90
GeneSearch Inc mouse single-cell rna-sequencing dataset
Mouse Single Cell Rna Sequencing Dataset, supplied by GeneSearch Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mouse single-cell rna-sequencing dataset/product/GeneSearch Inc
Average 90 stars, based on 1 article reviews
mouse single-cell rna-sequencing dataset - by Bioz Stars, 2026-04
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90
10X Genomics 10x single-cell multiome datasets
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
10x Single Cell Multiome Datasets, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/10x single-cell multiome datasets/product/10X Genomics
Average 90 stars, based on 1 article reviews
10x single-cell multiome datasets - by Bioz Stars, 2026-04
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90
Mendeley Ltd human testis single-cell rna-seq dataset
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Human Testis Single Cell Rna Seq Dataset, supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human testis single-cell rna-seq dataset/product/Mendeley Ltd
Average 90 stars, based on 1 article reviews
human testis single-cell rna-seq dataset - by Bioz Stars, 2026-04
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90
10X Genomics single cell dataset
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Single Cell Dataset, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/single cell dataset/product/10X Genomics
Average 90 stars, based on 1 article reviews
single cell dataset - by Bioz Stars, 2026-04
90/100 stars
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90
10X Genomics single-cell gene expression dataset by cell ranger 6.1.2 (2022)
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Single Cell Gene Expression Dataset By Cell Ranger 6.1.2 (2022), supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/single-cell gene expression dataset by cell ranger 6.1.2 (2022)/product/10X Genomics
Average 90 stars, based on 1 article reviews
single-cell gene expression dataset by cell ranger 6.1.2 (2022) - by Bioz Stars, 2026-04
90/100 stars
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90
Human Protein Atlas singlecell dataset
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Singlecell Dataset, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/singlecell dataset/product/Human Protein Atlas
Average 90 stars, based on 1 article reviews
singlecell dataset - by Bioz Stars, 2026-04
90/100 stars
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90
Broad Institute Inc online single-cell rna-seq in adipose tissue dataset
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Online Single Cell Rna Seq In Adipose Tissue Dataset, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/online single-cell rna-seq in adipose tissue dataset/product/Broad Institute Inc
Average 90 stars, based on 1 article reviews
online single-cell rna-seq in adipose tissue dataset - by Bioz Stars, 2026-04
90/100 stars
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90
10X Genomics cell ranger software cellranger-arc-2.0.0
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Cell Ranger Software Cellranger Arc 2.0.0, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cell ranger software cellranger-arc-2.0.0/product/10X Genomics
Average 90 stars, based on 1 article reviews
cell ranger software cellranger-arc-2.0.0 - by Bioz Stars, 2026-04
90/100 stars
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90
5 PRIME end single-cell rna sequencing datasets
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
End Single Cell Rna Sequencing Datasets, supplied by 5 PRIME, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/end single-cell rna sequencing datasets/product/5 PRIME
Average 90 stars, based on 1 article reviews
end single-cell rna sequencing datasets - by Bioz Stars, 2026-04
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90
Biotechnology Information single-cell rna-seq dataset gse87375
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Single Cell Rna Seq Dataset Gse87375, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/single-cell rna-seq dataset gse87375/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
single-cell rna-seq dataset gse87375 - by Bioz Stars, 2026-04
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90
Omics Data Automation multi-modal single-cell datasets
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Multi Modal Single Cell Datasets, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/multi-modal single-cell datasets/product/Omics Data Automation
Average 90 stars, based on 1 article reviews
multi-modal single-cell datasets - by Bioz Stars, 2026-04
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90
Muris Inc existing largest single-cell datasets
Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell <t>Multiome</t> data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .
Existing Largest Single Cell Datasets, supplied by Muris Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/existing largest single-cell datasets/product/Muris Inc
Average 90 stars, based on 1 article reviews
existing largest single-cell datasets - by Bioz Stars, 2026-04
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Image Search Results


Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell Multiome data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .

Journal: Nature Communications

Article Title: Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA

doi: 10.1038/s41467-022-33194-z

Figure Lengend Snippet: Visualization of intrinsic cleavage bias effect in different cell clusters derived from scATAC-seq data for different biological samples and different experimental platforms: human hematopoietic cells ( a – c ), mixed human cell lines ( d – f ), mouse primitive gut tube ( g – i ), and 10× Single-Cell Multiome data for mouse embryonic brain ( j – l ), human peripheral blood mononuclear cells (PBMC) ( m – o ), and human lymph node ( p – r ). a , d, g , j , m , p UMAP visualization where cells are colored by cell type/labels/clusters. b , e , h , k , n , q Same UMAP visualization but cells are colored by cell bias score (CBS). c , f , i , l, o , r CBS distributions of cells from different cell types/batches/clusters. Boxes are colored by cell clusters using the same color palette as the first column. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. The cell numbers for all boxplots are listed in Supplementary Dataset .

Article Snippet: The 10x Single-Cell Multiome datasets are downloaded from 10x Genomics website ( https://www.10xgenomics.com/resources/datasets/fresh-embryonic-e-18-mouse-brain-5-k-1-standard-2-0-0 , https://www.10xgenomics.com/resources/datasets/pbmc-from-a-healthy-donor-no-cell-sorting-10-k-1-standard-2-0-0 , https://www.10xgenomics.com/resources/datasets/fresh-frozen-lymph-node-with-b-cell-lymphoma-14-k-sorted-nuclei-1-standard-2-0-0 ).

Techniques: Derivative Assay

Comparisons of cell clustering accuracy before and after considering the peak bias score (PBS) on scATAC-seq data for human hematopoietic cells ( a ), mixed human cell lines ( b ), mouse primitive gut tube ( c ), and 10× Single-Cell Multiome data for mouse embryonic brain ( d ), human PBMC ( e ), and human lymph node ( f ). K-means clustering was performed after PCA dimensionality reduction. Blue, using all ATAC-seq peaks; orange, after removing 1–50% of peaks with the highest peak bias score (PBS). For each percentage of peaks retained from 50% to 99% with a 1% increment, 100 randomly sampled subsets of peaks were used as the background for determining the relative ranks of all peaks or retained peaks. The relative ranks of the adjusted Rand index (ARI), defined as the rank relative to the 100 randomly sampled sub-datasets, for the 50 cases from 50% to 99%, were plotted ( n = 50 for each boxplot). P values were calculated by the one-sided Wilcoxon signed-rank test. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. g Schematic of SELMA single-cell peak bias correction model. Peaks are weighted and adjusted based on PBS percentile using an empirically determined weight function. h – m Comparisons of the accuracy (measured by ARI) of single-cell clustering generated using different existing tools on scATAC-seq data with (orange) or without (blue) SELMA single-cell peak bias correction. Each panel represents the result for a scATAC-seq sample from a different biological system or experimental platform: human hematopoietic cells ( h ), mixed human cell lines ( i ), mouse gut tube ( j ), mouse embryonic brain ( k ), human PBMC ( l ) and human lymph node ( m ). Each data point at the center of the error bar represents the average (mean) ARI generated from 100 runs with different random seeds using the method labeled on the x-axis. The error bar represents the standard deviation ( n = 100).

Journal: Nature Communications

Article Title: Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA

doi: 10.1038/s41467-022-33194-z

Figure Lengend Snippet: Comparisons of cell clustering accuracy before and after considering the peak bias score (PBS) on scATAC-seq data for human hematopoietic cells ( a ), mixed human cell lines ( b ), mouse primitive gut tube ( c ), and 10× Single-Cell Multiome data for mouse embryonic brain ( d ), human PBMC ( e ), and human lymph node ( f ). K-means clustering was performed after PCA dimensionality reduction. Blue, using all ATAC-seq peaks; orange, after removing 1–50% of peaks with the highest peak bias score (PBS). For each percentage of peaks retained from 50% to 99% with a 1% increment, 100 randomly sampled subsets of peaks were used as the background for determining the relative ranks of all peaks or retained peaks. The relative ranks of the adjusted Rand index (ARI), defined as the rank relative to the 100 randomly sampled sub-datasets, for the 50 cases from 50% to 99%, were plotted ( n = 50 for each boxplot). P values were calculated by the one-sided Wilcoxon signed-rank test. The centerline, bounds of box, top line, and bottom line of the boxplots represent the median, 25th to 75th percentile range, 25th percentile – 1.5 × interquartile range (IQR), and 75th percentile + 1.5 × IQR, respectively. g Schematic of SELMA single-cell peak bias correction model. Peaks are weighted and adjusted based on PBS percentile using an empirically determined weight function. h – m Comparisons of the accuracy (measured by ARI) of single-cell clustering generated using different existing tools on scATAC-seq data with (orange) or without (blue) SELMA single-cell peak bias correction. Each panel represents the result for a scATAC-seq sample from a different biological system or experimental platform: human hematopoietic cells ( h ), mixed human cell lines ( i ), mouse gut tube ( j ), mouse embryonic brain ( k ), human PBMC ( l ) and human lymph node ( m ). Each data point at the center of the error bar represents the average (mean) ARI generated from 100 runs with different random seeds using the method labeled on the x-axis. The error bar represents the standard deviation ( n = 100).

Article Snippet: The 10x Single-Cell Multiome datasets are downloaded from 10x Genomics website ( https://www.10xgenomics.com/resources/datasets/fresh-embryonic-e-18-mouse-brain-5-k-1-standard-2-0-0 , https://www.10xgenomics.com/resources/datasets/pbmc-from-a-healthy-donor-no-cell-sorting-10-k-1-standard-2-0-0 , https://www.10xgenomics.com/resources/datasets/fresh-frozen-lymph-node-with-b-cell-lymphoma-14-k-sorted-nuclei-1-standard-2-0-0 ).

Techniques: Generated, Labeling, Standard Deviation