Machine Learning Based Classification of Diffuse Large B-cell Lymphoma Patients by their Protein Expression Profiles.

ABSTRACT: Data from ProteomeXchange, PXD ID: PXD002052. Experiment: TRR37, file: folder summary. Published as part of Mol Cell Proteomics. 2015 Aug 26 . From the Abstract: {{i}} ... Here, we develop a state of the art quantitative mass spectrometric pipeline to characterize formalin-fixed paraffin-embedded (FFPE) tissues of patients with closely related subtypes of diffuse large B-cell lymphoma (DLBCL). We combined a super-SILAC approach with label-free quantification (hybrid LFQ), to address situations where the protein is absent in the super-SILAC standard yet present in the patient samples ... {{/i}}

INSTRUMENT(S): Instrument

ORGANISM(S): Homo_sapiens_viruses, Human

DISEASE(S): Not Available

SUBMITTER: Deeb SJ, et al.  

PROVIDER: GPM32320017943 | GPMDB |

REPOSITORIES: GPMDB