Dataset Loaders Edit AddRemove No data loaders found. You cansubmit your data loader here. Tasks Edit Classification Multiple Instance Learning Cancer type classification Similar Datasets CRC100K CRC100K BACH Musk v2 Musk v2 Musk v1 Usage
首先需要根据感兴趣的基因表达量高低,对病人进行分组。 (A) GSEA-generated heatmap for highly enriched genes in the MAPK signaling pathway in the APOC1-higher expression group compared to the APOC1-lower expression group from the TCGA COAD-READ dataset. 运行GSEA,需要指定感兴趣的通路进行可视化 (B...
对作者是如何从307个early-stage cervical cancer (CESC)病人中根据临床信息挑选出145个病人的过程有些疑惑。下面是原作者筛选样本的标准。 今天小编就带大家来重现这个过程。首先我们要从TCGA中下载CESC的临床信息,在TCGA中搜索CESC,选择TCGA-CESC。 选择miRNA样本,点击307这个超链接。 任意选择一个样本,点击进入。 ...
参考:http://localhost:17449/lab/tree/projects/public_resources/public_DB/DepMap-CRC-org-viability-screen.ipynb#muanual-vs-gepia 检查了一个spatial的数据,我还是更相信gepia的结果。 这个功能GEPIA2已经实现了,http://gepia2.cancer-pku.cn/#dataset 但问题是它的数据不能导出,原图太丑,不能直接发表,那就...
(B) GSEA on the TCGA COAD-READ dataset identified MAPK signaling pathways as a regulatory target of APOC1. The GSEA enrichment plot shows values for normalized enrichment score (NES) =1.87 and nominal P-value =0.004. 如果大家感兴趣GSEA分析原理和用法,看合辑...
首先需要根据感兴趣的基因表达量高低,对病人进行分组。 (A) GSEA-generated heatmap for highly enriched genes in the MAPK signaling pathway in the APOC1-higher expression group compared to the APOC1-lower expression group from the TCGA COAD-READ dataset. ...
(CRC)and to study its biological function in 5-fluorouracil(5-FU)resistance.METHODS:miRNA sequence dataset and the corresponding clinical data of CRC patients were downloaded from The Cancer Genome Atlas(TCGA).Expression level and clinical characteristics of miR-196b in CRC patients were analyze...
(B) GSEA on the TCGA COAD-READ dataset identified MAPK signaling pathways as a regulatory target of APOC1. The GSEA enrichment plot shows values for normalized enrichment score (NES) =1.87 and nominal P-value =0.004.GSEA结果 如果大家感兴趣GSEA分析原理和用法,看合辑 ...
Fig. 11. CRC dataset confusion matrix for KimiaNet features. 4.4. High-Cellularity mosaic The cellMosaic is a novel approach using weak/soft labels on valuable large datasets like the TCGA that are not annotated at the pixel level. Using the cellMosaic has apparently enabled KimiaNet to outper...
By contrast, the GSE22259 dataset provides expression profiles of MCF7 cells with BRCA1 knockdown. When we compared the two datasets, we found only a weak positive correlation (Figure 1B). Therefore, we added breast cancer expression profiles from The Cancer Genome Atlas (TCGA) database to ...