Transcriptional profiling of peripheral blood mononuclear cells identifies inflammatory phenotypes in ataxia telangiectasia

<p>This is an AnnData object in h5ad (hdf5) format containing de-identified bulk RNA-seq gene expression matrices from PBMCs. These data are related to the study entitled "Transcriptional profiling of peripheral blood mononuclear cells identifies inflammatory phenotypes in ataxia telangiectasia".&nbsp;</p><p>This AnnData object contains a table of sample-specific metadata (`obs`), gene-specific metadata (`var`), and multiple gene expression matrices stored as `layers`. These layers include raw counts, DEseq2 normalized counts, vst normalized counts, and rlog normalized counts. Some additional layers include regressed versions of the previously mentioned counts matrices, where sequencing batch (`cohort` in the obs table) has been regressed out using the `combat` tool. The layer `rlog_combat_regressed_batch` is recommended for downstream processing, and has been loaded into the `X` slot of the anndata object for convenience.&nbsp;</p><p>The md5sum of this h5ad file is listed here: 04d7c6c549fb37cf730a5dca7897f86f</p><p>Opening and working with AnnData objects in h5ad format requires the use of the `anndata` python library (https://github.com/scverse/anndata).&nbsp;</p>