PMC:7417788 / 73338-74109 7 Projects
Annnotations
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T412 | 0-111 | Sentence | denotes | We created mass cytometry datasets for analysis by concatenating cells from all individuals for each cell type. |
| T413 | 112-323 | Sentence | denotes | In this way, we created downsampled datasets of 95,316 TCs, 35,254 NKs, 22,042 BCs, 39,144 MCs and 8,244 DCs in cohort-1 and 57,910 TCs, 34,857 NKs, 13,812 BCs, 45,431 MCs and 7,990 DCs in cohort-2 for analysis. |
| T414 | 324-354 | Sentence | denotes | We used FlowCore (65 flowCore: |
| T415 | 355-449 | Sentence | denotes | Basic structures for flow cytometry data.) to read and process FCS files for further analysis. |
| T416 | 450-572 | Sentence | denotes | For sample with more than 20,000 cells, we randomly selected 20,000 cells to ensure that samples were equally represented. |
| T417 | 573-771 | Sentence | denotes | At last, we run the t-SNE dimensionality reduction algorithm on a combined data sample using the Seurat package based on harmony embedding (https://github.com/immunogenomics/harmony, version 1.0.0). |