Additional file 1 of Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC
Background A major challenges in the analysis of large and complex biomedical data is to develop an approach for 1) identifying distinct subgroups in the sampled populations, 2) characterizing their r
Background: DNA methylation (MET)–mediated transcriptomic disturbance and copy number variations (CNVs) exert a significant influence in stimulating the heterogeneous progression of stomach adenocarci
In this project, a cohort of early stage NSCLC samples (141) were analyzed by MS-based proteomics in order to identify molecular subtypes at the phenotype level. In total, close to 14 000 proteins wer
Background Subcutaneous adipose tissue (SAT) undergoes major changes in obesity, but little is known about the whole-genome scale patterns of these changes or about their variation between different o