Genetic and phenotypic characteristics of Russian patients with BRAF-mutated colorectal cancer.

Colorectal cancer (CRC) is one of the most common malignancies in the world. It's estimated about 1.8 M new CRC cases worldwide per year.

An approach for feature selection with data modelling in LC-MS metabolomics.

The data processing workflow for LC-MS based metabolomics study is suggested with signal drift correction, univariate analysis, supervised learning, feature selection and unsupervised modelling. The proposed approach requires only an annotation-free peak table and produces an extremely reduced set of the most relevant features together with validation via Receiver Operating Characteristic analysis for selected predictors, cross-validation and unsupervised projection. The presented study was initially optimised by its own experimental set and then was successfully tested by using 36 datasets from 21 publicly available metabolomics projects.