Additional file 1 of Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC
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
Increasingly, multiple omics approaches are being applied to understand the complexity of biological systems. Yet, computational approaches that enable the efficient integration of such data are not w
Background Breast cancer (BC) is the most common cancer in women worldwide and the most frequent cause of cancer death in women in low- and middle-income countries (LMIC). The incidence of BC in Afric
One of the most common smoking-related diseases, chronic obstructive pulmonary disease (COPD), results from a dysregulated, multi-tissue inflammatory response to cigarette smoke. We hypothesized that