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a01-PMID-39024031-Code.R 2024 BCMA CAR-T治疗的单细胞数据 优点:细胞分群语句,三个层次细胞命名; sctransform + RPCA 整合多样本; 颜色设置包 paletteer; 缺点:缺少更多细节 a02-argparse/ (run_multiple_seurat.R | utils.R) 来源:群分享 空间转录组 单脚本分析 优点: R语言的 argparse 传递参数 --input source() 的使用 缺点:很少注释;没有找到paper a03-Treg-NC_2021-PMID34599187.Rmd 2021 NC: CD177 modulates the function and homeostasis of tumor-infiltrating regulatory T cells we identify two distinct transcriptional fates for TI Treg cells, Fate-1 and Fate-2. The Fate-1 signature is associated with a poorer prognosis in ccRCC and several other solid cancers. 优点: Rmd的使用; 多样品整合[MergeSeurat, RunMultiCCA, AlignSubspace] Trajectory 2个命运; 宽变长 melt; 细胞比例图: ``` freq_table <- prop.table(x = table(immune.combined2@ident, immune.combined2@meta.data[, "Type"]), margin = 2) freq_table <- as.data.frame(freq_table) ggplot(freq_table, aes(x=Var1, y=Freq, fill=Var2)) + geom_bar(stat="identity", position="fill", color="black", lwd=0.25) + theme(axis.title.x = element_blank()) ggsave("CompositionProp.pdf", width=4, height=2) ```

Code: GitHub

b01-PMID-38200243 2024 Nat Cancer https://www.nature.com/articles/s43018-023-00691-z https://github.com/snow55/SIRPAproject/blob/main/Scripts/3_find_DEGs_and_plot.r 优点: 文件编号,带中文注释 b02-PMID-32649887 2020 Cancer Cell: 血液肿瘤的免疫景观 优点: 血液相关 b03-PMID-39047727 2024 Cell: pan-cancer B code: https://github.com/yuyang3/pan-B fig: http://pan-b.cancer-pku.cn/ 优点: web可视化包 Cirro; Cancer_color_panel 颜色组合; 对亚群做 scVelo https://github.com/yuyang3/pan-B/blob/main/Figure6_trajectory_analysis.ipynb b04-PMID-39315707 2024 NAR: scMMO-atlas https://zenodo.org/records/13710871 优点: shiny 界面值得学习,但是没提供代码 b05-PMID-: Towards modeling context-specific EMT regulatory networks using temporal single cell RNA-Seq data https://lusystemsbio.github.io/EMT-Cancer-scRnaSeq/EMT-Cancer-scRnaSeq.html 新版本; 老版本 _v1.html https://github.com/lusystemsbio/EMT-Cancer-scRnaSeq b06-PMID-37646019: 2023 iScience; CD4T Act vs Rest https://github.com/JinWLab/T_active 优点: 配色可以参考;
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