five

Data set repositories

收藏
DataCite Commons2022-03-27 更新2024-07-29 收录
下载链接:
https://figshare.com/articles/dataset/Data_set_repositories/14999487/2
下载链接
链接失效反馈
官方服务:
资源简介:
There are 12 files in this data repository. The descriptions for each file are as follows:1. tcga_tumor.exp.txtThe processed TCGA-CESC dataset, which was normalized as fragments per kilobase of transcript per million mapped reads (FPKM) and then log2-transformed.2.CGCI.tumor.exp.tsvThe processed CGCI-HTMCP-CC RNA-Seq data, which was normalized as fragments per kilobase of transcript per million mapped reads (FPKM) and then log2-transformed.3. Training_TCGA_203samples.txtThis is the training dataset for developing ccHPS model using 70% of TCGA-CESC cohort samples.4. Test1_TCGA_86samples.txtThis is the first validation dataset of ccHPS model using the rest of 30% of TCGA-CESC cohort samples.<br>5. Test2_CGCI-HTMCP-CC_117samples.txtThis is an indepedent validation dataset using CGCI-HTMCP-CC cohort samples.6. ccHPS_score_GPL10558.tsvccHPS score calculated for each samples in GSE72723 with array platform GPL10558.7. ccHPS_score_GPL6884.tsvccHPS score calculated for each samples in GSE72723 with array platform GPL6884.<br>8.ccHPS_score_TCGA.tsvccHPS score calculated for TCGA samples.9.ccHPS_score_CGCI-HTMCP-CC.txtccHPS score calculated for CGCI-HTMCP-CC samples.10.Differential_gene_analysis_rank_between_high_low_risk.txtThe different gene analysis result using 'limma' package between high-risk and low-risk samples.11.ESTIMATEscore.txtThe ESTIMATE score for each TCGA-CESC samples.12. tcga.drug_sensitivity_predicted_allSolidTumor.txt<br>Drug estimated IC50 of each sample.
提供机构:
figshare
创建时间:
2022-03-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作