human breast cancer xenium dataset Search Results


human er + breast cancer dataset  (Broad Institute Inc)
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Broad Institute Inc human er + breast cancer dataset
Validation of the results from SC31 and GS3 through single‐cell analysis on two additional datasets. (A) UMAP plot of the GS1 <t>dataset</t> coloured according to the clusters identified by the unbiased clustering and (B) the cell cycle phases. (C) Expression of ESR1 , PGR and MKI67 expression in each cluster identified in the GS1 dataset. (D) EPK classification on the GS1 dataset. (E) Proportion of cells with EPK classification in each sample. The percentage of cells was calculated by (the number of the cells in an EPK classification in a sample)/(the total number of the cells in a sample). (F) Heatmap of the hallmark gene signature scores for the clusters in GS1. Column represents the clusters and row represents the gene sets. (G) UMAP plot of <t>human</t> ER + <t>breast</t> <t>cancer</t> dataset coloured according to the clusters identified by the unbiased clustering and the cell cycle phases. (H) EPK classification on the human ER + breast cancer dataset.
Human Er + Breast Cancer 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
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Validation of the results from SC31 and GS3 through single‐cell analysis on two additional datasets. (A) UMAP plot of the GS1 dataset coloured according to the clusters identified by the unbiased clustering and (B) the cell cycle phases. (C) Expression of ESR1 , PGR and MKI67 expression in each cluster identified in the GS1 dataset. (D) EPK classification on the GS1 dataset. (E) Proportion of cells with EPK classification in each sample. The percentage of cells was calculated by (the number of the cells in an EPK classification in a sample)/(the total number of the cells in a sample). (F) Heatmap of the hallmark gene signature scores for the clusters in GS1. Column represents the clusters and row represents the gene sets. (G) UMAP plot of human ER + breast cancer dataset coloured according to the clusters identified by the unbiased clustering and the cell cycle phases. (H) EPK classification on the human ER + breast cancer dataset.

Journal: Clinical and Translational Medicine

Article Title: Molecular features of luminal breast cancer defined through spatial and single‐cell transcriptomics

doi: 10.1002/ctm2.1548

Figure Lengend Snippet: Validation of the results from SC31 and GS3 through single‐cell analysis on two additional datasets. (A) UMAP plot of the GS1 dataset coloured according to the clusters identified by the unbiased clustering and (B) the cell cycle phases. (C) Expression of ESR1 , PGR and MKI67 expression in each cluster identified in the GS1 dataset. (D) EPK classification on the GS1 dataset. (E) Proportion of cells with EPK classification in each sample. The percentage of cells was calculated by (the number of the cells in an EPK classification in a sample)/(the total number of the cells in a sample). (F) Heatmap of the hallmark gene signature scores for the clusters in GS1. Column represents the clusters and row represents the gene sets. (G) UMAP plot of human ER + breast cancer dataset coloured according to the clusters identified by the unbiased clustering and the cell cycle phases. (H) EPK classification on the human ER + breast cancer dataset.

Article Snippet: A human ER + breast cancer dataset was obtained from the Broad Institute Single Cell portal.

Techniques: Biomarker Discovery, Single-cell Analysis, Expressing