We used a machine-learning framework to systematically discover prognostic long non-coding RNAs (lncRNAs) in 9,446 patient tumors of 30 types. We identified 166 prognostic lncRNAs whose transcript abu
This dataset is comprised of the input files generated by MEA recordings on the Axion Maestro system, called spikelist files. These files can be uploaded into the IGM.MEA analysis pipeline to generate
MicroRNA-10b may target numerous genes in gliomagenesis. The target genes of miR-10b may differ according to the cellular context. We used microarray analyses to determine the phenotypic effects and g