{"cohort":"Treehouse PED v9 Ribodeplete","probeMap":"gencode.v23.annotation.gene.probemap","dataSubType":"gene expression RNAseq","label":"expected_count","name":"TreehousePEDv9_Ribodeplete_unique_ensembl_expected_count.2019-03-25.tsv","type":"genomicMatrix","version":"2019-03-25","unit":"expected_count","colnormalization":true,"description":"Treehouse Public Expression Dataset v9 (March 2019). Treehouse RNASeq gene expression data. Values in this dataset are expected_count and use Ensembl gene identifiers. This data was generated by the ribodepletion library preparation method."}

{"name":"treehouse_public_samples_clinical_metadata.2017-09-11.tsv","dataSubType":"phenotype","cohort":"Treehouse public expression dataset (July 2017)","description":"Age, gender, and disease are provided for RNASeq samples compiled by the UCSC Treehouse Childhood Cancer Initiative. Samples derived from clinical sites, publicly available repositories, TARGET, and TCGA.","label":"clinical (limited)","type":"clinicalMatrix","version":"2017-09-11"}

{"name":"treehouse_public_samples_unique_hugo_log2_tpm_plus_1.2017-09-11.tsv","dataSubType":"gene expression RNAseq","cohort":"Treehouse public expression dataset (July 2017)","colnormalization":true,"description":"Treehouse RNASeq gene expression data. Values in this dataset use HUGO gene names and are transformed by log2(x +1) of the TPM value. This data was generated by library preparation methods including polyA selection and ribosomal depletion.","label":"log2(TPM + 1) normalized","type":"genomicMatrix","version":"2017-09-11","unit":"log2(tpm+1)"}

{"cohort":"Treehouse public expression dataset (July 2017)","probeMap":"gencode.v23.annotation.gene.probemap","dataSubType":"gene expression RNAseq","label":"expected_count","name":"treehouse_public_samples_unique_ensembl_expected_count.2017-09-11.tsv","type":"genomicMatrix","version":"2017-09-11","unit":"expected_count","colnormalization":"log2(x)","description":"Treehouse RNASeq gene expression data. Values in this dataset are expected_count and use Ensembl gene IDs. This data was generated by library preparation methods including polyA selection and ribosomal depletion."}