首先聲明下面整理的內(nèi)容都來自于網(wǎng)絡(luò),并在文末注明了引用的出處,本內(nèi)容僅用于學(xué)習(xí)交流,禁止用于商業(yè)用途,如有侵權(quán),請聯(lián)系刪除。目前自己常用的調(diào)色R包有: ggsci[http:...
首先聲明下面整理的內(nèi)容都來自于網(wǎng)絡(luò),并在文末注明了引用的出處,本內(nèi)容僅用于學(xué)習(xí)交流,禁止用于商業(yè)用途,如有侵權(quán),請聯(lián)系刪除。目前自己常用的調(diào)色R包有: ggsci[http:...
@火衛(wèi)控 謝謝已解決
R 讀取單細(xì)胞H5ad數(shù)據(jù)R 讀取單細(xì)胞H5ad數(shù)據(jù), 轉(zhuǎn)換為Seurat能直接讀取的對象 運行情況 需要一會兒時間,H5ad源文件大約 10GB 左右
@TOP生物信息 腫瘤細(xì)胞都根據(jù)患者的不同獨立成群 那后續(xù)能分析細(xì)胞互作嗎?有意義嗎?
單細(xì)胞分析實錄(6): 去除批次效應(yīng)/整合數(shù)據(jù)上一篇已經(jīng)講解了Seurat標(biāo)準(zhǔn)流程,推文的最后,注意到了不同樣本之間的表達數(shù)據(jù)是存在批次效應(yīng)的,就像下圖這樣,有些是可以聚到一起的亞群,卻出現(xiàn)了不同樣本分開/偏移的情況,比...
單細(xì)胞PCA降維的時候,肘部圖(ElbowPlot)上顯示排名較高的 PC 比排名較低的 PC 解釋了更多的數(shù)據(jù)差異(具有更高的標(biāo)準(zhǔn)差)。PC的解釋方差變化趨勢屬于非線性曲線...
> Convert('D:/DraftR/cell intersection/02-cell-cell/08-bulk層面驗證細(xì)胞互作/01-TAM_Tregs/03_scTenifold_adata_merge_example.h5ad', "h5seurat",overwrite = TRUE,assay = "RNA")
警告: Unknown file type: h5ad
Creating h5Seurat file for version 3.1.5.9900
Adding X as scale.data
Adding X as data
Adding X as counts
Adding meta.features from var
Adding X_pca as cell embeddings for pca
Adding X_umap as cell embeddings for umap
Adding layer log1p as data in assay log1p
Adding layer raw as data in assay raw
> scTenifold_data <- LoadH5Seurat("D:/DraftR/cell intersection/02-cell-cell/08-bulk層面驗證細(xì)胞互作/01-TAM_Tregs/03_scTenifold_adata_merge_example.h5seurat")
Validating h5Seurat file
Initializing RNA with data
Adding counts for RNA
Adding scale.data for RNA
Adding feature-level metadata for RNA
Initializing log1p with data
Initializing raw with data
警告: Layer counts isn't present in the assay object; returning NULL
警告: Layer counts isn't present in the assay object; returning NULL
Adding reduction pca
Adding cell embeddings for pca
Adding miscellaneous information for pca
Adding reduction umap
Adding cell embeddings for umap
Adding miscellaneous information for umap
Adding command information
Adding cell-level metadata
錯誤: Missing required datasets 'levels' and 'values'
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你好請問這要怎么解決?
R 讀取單細(xì)胞H5ad數(shù)據(jù)R 讀取單細(xì)胞H5ad數(shù)據(jù), 轉(zhuǎn)換為Seurat能直接讀取的對象 運行情況 需要一會兒時間,H5ad源文件大約 10GB 左右
使用R-4.4.0版本安裝即可。此前使用的是4.3版本,一直報錯,更新R版本后,即可安裝 if (!require("BiocManager", quietly = TRUE...