Performance of PLS regression coefficients in selecting variables for each response of a multivariate PLS for omics-type data

Multivariate partial least square (PLS) regression allows the modeling of complex biological events, by considering different factors at the same time. It is unaffected by data collinearity, representing a valuable method for modeling high-dimensional biological data (as derived from genomics, proteomics and peptidomics). In presence of multiple responses, it is of particular interest how to appropriately “dissect” the model, to reveal the importance of single attributes with regard to individual responses (for example, variable selection). In this paper, performances of multivariate PLS regression coefficients, in selecting relevant predictors for different responses in omics-type of data, were investigated by means of a receiver operating characteristic (ROC) analysis. For this purpose, simulated data, mimicking the covariance structures of microarray and liquid chromatography mass spectrometric data, were used to generate matrices of predictors and responses. The relevant predictors were set a priori. The influences of noise, the source of data with different covariance structure and the size of relevant predictors were investigated. Results demonstrate the applicability of PLS regression coefficients in selecting variables for each response of a multivariate PLS, in omics-type of data. Comparisons with other feature selection methods, such as variable importance in the projection scores, principal component regression, and least absolute shrinkage and selection operator regression were also provided

Практический опыт развития комплексной системы экологического просвещения в образовательной организации

В статье представлены разработанные и апробированные в образовательной организации новые подходы, механизмы и инструменты по одному из приоритетных направлений развития страны в части формирования экологического культуры вузовской молодежи с целью повышения познавательной активности, уровня экологических знаний в области гармоничного развития человека и природы, устойчивого интереса к экологическим проблемам современности, воспитания и привития бережного отношения к окружающей природе.The article presents new approaches, mechanisms and tools developed and tested in the educational organization in one of the priority directions of the country's development in terms of forming the ecological culture of university youth in order to increase cognitive activity, the level of ecological knowledge in the field of harmonious development of man and nature, and a steady interest in environmental problems of modernity, upbringing and inculcation of respect for nature

RA-MAP, molecular immunological landscapes in early rheumatoid arthritis and healthy vaccine recipients

Rheumatoid arthritis (RA) is a chronic inflammatory disorder with poorly defined aetiology characterised by synovial inflammation with variable disease severity and drug responsiveness. To investigate the peripheral blood immune cell landscape of early, drug naive RA, we performed comprehensive clinical and molecular profiling of 267 RA patients and 52 healthy vaccine recipients for up to 18 months to establish a high quality sample biobank including plasma, serum, peripheral blood cells, urine, genomic DNA, RNA from whole blood, lymphocyte and monocyte subsets. We have performed extensive multi-omic immune phenotyping, including genomic, metabolomic, proteomic, transcriptomic and autoantibody profiling. We anticipate that these detailed clinical and molecular data will serve as a fundamental resource offering insights into immune-mediated disease pathogenesis, progression and therapeutic response, ultimately contributing to the development and application of targeted therapies for RA.</p

Additional file 2: of Comparison of pre-processing methods for multiplex bead-based immunoassays

Supplementary table. Detailed results for the evaluation criteria skewness, tail length and coefficient of variation. (PDF 54 kb