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arrayexpress e mtab 5305 mouse embryo single cell rna seq data deng  (ATCC)
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ATCC arrayexpress e mtab 5305 mouse embryo single cell rna seq data deng
Arrayexpress E Mtab 5305 Mouse Embryo Single Cell Rna Seq Data Deng, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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single cell rna sequencing scrna seq data  (Broad Clinical Labs)
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Broad Clinical Labs single cell rna sequencing scrna seq data
Analysis of the hub genes expression at <t>single</t> <t>cell</t> level in COVID-19. A UMAP showing the major cell types in COVID-19 ( n = 37) and heathy controls ( n = 15) at single-cell transcriptomes. B Density plot of AUC values. C Boxplot comparing AUC values between COVID-19 and healthy controls
Single Cell Rna Sequencing Scrna Seq Data, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cell rna seq data  (Broad Clinical Labs)
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Broad Clinical Labs cell rna seq data
<t>Single-cell</t> <t>transcriptome</t> analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types
Cell Rna Seq Data, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cell rna seq data - by Bioz Stars, 2026-03
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data single cell rna seq data european nucleotide archive european nucleotide archive ena prjeb95890 experimental models  (ATCC)
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ATCC data single cell rna seq data european nucleotide archive european nucleotide archive ena prjeb95890 experimental models
<t>Single-cell</t> <t>transcriptome</t> analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types
Data Single Cell Rna Seq Data European Nucleotide Archive European Nucleotide Archive Ena Prjeb95890 Experimental Models, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/data single cell rna seq data european nucleotide archive european nucleotide archive ena prjeb95890 experimental models/product/ATCC
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data single cell rna seq data european nucleotide archive european nucleotide archive ena prjeb95890 experimental models - by Bioz Stars, 2026-03
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single cell rna seq data  (Broad Clinical Labs)
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Broad Clinical Labs single cell rna seq data
<t>Single-cell</t> <t>transcriptome</t> analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types
Single Cell Rna Seq Data, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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single cell rna seq data - by Bioz Stars, 2026-03
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processed single-cell rna-seq data  (Mendeley Ltd)
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Mendeley Ltd processed single-cell rna-seq data
<t>Single-cell</t> <t>transcriptome</t> analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types
Processed Single Cell Rna Seq Data, 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
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single-cell rna-seq data  (Biotechnology Information)
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Biotechnology Information single-cell rna-seq data
<t>Single-cell</t> <t>transcriptome</t> analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types
Single Cell Rna Seq Data, 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
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single-cell rna-seq data  (10X Genomics)
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10X Genomics single-cell rna-seq data
<t>Single-cell</t> <t>transcriptome</t> analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types
Single Cell Rna Seq Data, 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
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Analysis of the hub genes expression at single cell level in COVID-19. A UMAP showing the major cell types in COVID-19 ( n = 37) and heathy controls ( n = 15) at single-cell transcriptomes. B Density plot of AUC values. C Boxplot comparing AUC values between COVID-19 and healthy controls

Journal: Mammalian Genome

Article Title: Exploration of shared gene signatures and molecular mechanisms between psoriasis and COVID-19: evidence from transcriptome data

doi: 10.1007/s00335-026-10194-8

Figure Lengend Snippet: Analysis of the hub genes expression at single cell level in COVID-19. A UMAP showing the major cell types in COVID-19 ( n = 37) and heathy controls ( n = 15) at single-cell transcriptomes. B Density plot of AUC values. C Boxplot comparing AUC values between COVID-19 and healthy controls

Article Snippet: Additionally, single-cell RNA sequencing (scRNA-seq) data of COVID-19 samples were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP1289/ ).

Techniques: Expressing

Analysis of the hub genes expression at single cell level in psoriasis. A UMAP showing major cell types and clusters in psoriasis patients ( n = 3) and healthy controls ( n = 3). B Density plot of AUC values. C Boxplot comparing AUC values between psoriasis and healthy controls

Journal: Mammalian Genome

Article Title: Exploration of shared gene signatures and molecular mechanisms between psoriasis and COVID-19: evidence from transcriptome data

doi: 10.1007/s00335-026-10194-8

Figure Lengend Snippet: Analysis of the hub genes expression at single cell level in psoriasis. A UMAP showing major cell types and clusters in psoriasis patients ( n = 3) and healthy controls ( n = 3). B Density plot of AUC values. C Boxplot comparing AUC values between psoriasis and healthy controls

Article Snippet: Additionally, single-cell RNA sequencing (scRNA-seq) data of COVID-19 samples were obtained from the Broad Institute Single Cell Portal ( https://singlecell.broadinstitute.org/single_cell/study/SCP1289/ ).

Techniques: Expressing

Single-cell transcriptome analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types

Journal: BMC Cancer

Article Title: TGF-β signaling and tumor microenvironment dynamics in bladder cancer progression post-BCG therapy: a longitudinal single-nucleus RNA-seq study

doi: 10.1186/s12885-025-15079-8

Figure Lengend Snippet: Single-cell transcriptome analysis was performed on samples from 9 bladder cancer patients. A Baseline information of clinical features, along with cell abundance in cancer tissues from the 9 patients. B tSNE plot of 54,393 cells from the 9 patients, colored by their 6 major cell types. C tSNE plot showing cell distribution across progression states and pairwise comparisons of Primary vs. Progression samples for P-2, P-8, and P-9. D Expression patterns of marker genes for the six major cell types, displayed using tSNE plots. E Violin plots showing expression levels of marker genes across six major cell types

Article Snippet: To identify large-scale chromosomal copy number variations (CNVs) in single-cell RNA-Seq data of bladder cancers, including amplifications and deletions of whole or large chromosome segments, we used the InferCNV (version 1.10.1) ( https://github.com/broadinstitute/inferCNV ) software package.

Techniques: Expressing, Marker