生物学重复的不同条件下的scrna-seq数据的差异基因表达分析 (https://www.10xgenomics.com/resources/analysis-guides/differential-gene-expression-analysis-in-scrna-seq-data-between-conditions-with-biological-replicates) 需要注意的是,这部分差异表达分析不应与下一部分,计算来自两个簇的细胞之间的差异表达基因以...
cell-type identification using marker gene expression could lead to difficulties in distinguishing alternations in the cell-type specification from changes in gene regulation. Identifying cell types using information
array(['CPA3','TPSAB1','TPSB2'], dtype=object) # Check expression of the three genes in the training set. sc.pl.violin(adata_2000, top_3_genes, groupby ='cell_type', rotation =90) mast_cell_weights = weights[model.cell_types =='Plasma cells'] top_3_genes = model.features[mas...
Conversely, the expression of cell-cycle genes is low in INT cells and therefore they are the quiescent interommatidial cells. Interestingly, we did not find a distinct cell population corresponding to cone cells but their respective marker cut was detected throughout the LPR population. This is...
2CellMarker 2.0 概述 一张图总结一下CellMarker 2.0数据库概况:👇 3CellMarker 2.0 更新亮点 本次更新的亮点如下:👇 新增36300个tissue-cell type-marker条目、474个组织、1901个细胞类型和4566个marker; 新增48种测序技术分类的细胞marker,包括10×Chromium、Smart-seq2和Drop-seq等; ...
Median expression values are shown on a logarithmic scale, with maximum expression values shown on the right side of each row. Up to five marker genes are shown for each cell type. Note that LOC genes were excluded from cluster names, and the best non-LOC marker genes were used instead. ...
FormulaExpressionValues FromMarker FunctionGroup FunctionGroups FutureMetadata FutureMetadataBlock GradientFill GradientStop GradientValues Group GroupByValues GroupItems GroupLevel GroupLevels GroupMember GroupMembers Groups GrowShrinkValues Header HeaderFooter Headers HierarchyUsageType HorizontalAlignmentValues Horizontal...
FormulaExpressionValues FromMarker FunctionGroup FunctionGroups FutureMetadata FutureMetadataBlock GradientFill GradientStop GradientValues Group GroupByValues GroupItems GroupLevel GroupLevels GroupMember GroupMembers Groups GrowShrinkValues Header HeaderFooter Headers HierarchyUsageType HorizontalAlignmentValues Horizontal...
Figure 1.The characterization of cellular diversity in MPTP-PD brain by snRNA-seq. (A) Contribution of nuclei from PD or CN to each cell type; colored by cluster. (B) Cell representative marker genes. Expression level (color scale) of marker genes across clusters and the percentage of cell...
FormulaExpressionValues FromMarker FunctionGroup FunctionGroups FutureMetadata FutureMetadataBlock GradientFill GradientStop GradientValues Group GroupByValues GroupItems GroupLevel GroupLevels GroupMember GroupMembers Groups GrowShrinkValues Header HeaderFooter Headers HierarchyUsageType HorizontalAlignmentVa...