{"owner":"TCGA","longTitle":"TCGA kidney renal papillary cell carcinoma (KIRP) gene expression by RNAseq (ployA+ IlluminaHiSeq), pancan normalized","cohort":"TCGA Kidney Papillary Cell Carcinoma (KIRP)","url":"https://tcga-data.nci.nih.gov/tcgafiles/ftp_auth/distro_ftpusers/anonymous/tumor/kirp/cgcc/unc.edu/illuminahiseq_rnaseqv2/rnaseqv2/","probeMap":"probeMap/hugo_gencode_good_hg19_V24lift37_probemap","dataSubType":"gene expression RNAseq","security":"public","rnatype":"ployA+","label":"IlluminaHiSeq pancan normalized","tags":["cancer"],"path":"data/public/TCGA/KIRP/HiSeqV2_PANCAN","anatomical_origin":["Kidney"],"name":"TCGA.KIRP.sampleMap/HiSeqV2_PANCAN","dataproducer":"UCSC Xena team","wrangling_procedure":"Level_3 data (file names: *.rsem.genes.normalized_results) are download from TCGA DCC, log2(x+1) transformed, normalized across all TCGA cancer cohorts (all *.rsem.genes.normalized_results) per gene, and deposited into UCSC Xena repository.","sample_type":"tumor","redistribution":true,"groupTitle":"TCGA kidney papillary cell carcinoma","type":"genomicMatrix","wrangler":"Xena TCGAscript RNAseq processed on 2017-10-13","version":"2017-10-13","gdata_tags":["transcription"],"unit":"pan-cancer normalized log2(norm_count+1)","notes":"the probeMap is hugo for the short term, however probably around 10% of the gene symbols are not HUGO names, but ENTRE genes","primary_disease":"kidney papillary cell carcinoma","platform":"IlluminaHiSeq_RNASeqV2","description":"TCGA kidney renal papillary cell carcinoma (KIRP) gene expression by RNAseq, mean-normalized (per gene) across all TCGA cohorts. Values in this dataset are generated at UCSC by combining \"gene expression RNAseq\" values of all TCGA cohorts, values are then mean-centered per gene, then extracting the converted data only belongs to the this cohort.<br><br>For comparing data within this cohort, we recommend to use the \"gene expression RNAseq\" dataset. For questions regarding the gene expression of this particular cohort in relation to other types tumors, you can use the pancan normalized version of the \"gene expression RNAseq\" data. For comparing with data outside TCGA, we recommend using the percentile version if the non-TCGA data is normalized by percentile ranking. For more information, please see our Data FAQ: <a href=https://docs.google.com/document/d/1q-7Tkzd7pci4Rz-_IswASRMRzYrbgx1FTTfAWOyHbmk/edit?usp=sharing target=\"_blank\"><u>here</u></a>.<br>"}