Title: Basic Quality Data Assurance for Epidemiological Research
Author: Martin Bialke <mosaic-projekt@uni-greifswald.de>, Thea Schwaneberg <thea.schwaneberg@uni-greifswald.de>, Rene Walk <rene.walk@uni-greifswald.de>
Description: With the provision of several tools and templates the MOSAIC project (DFG-Grant Number HO 1937/2-1) supports the implementation of a central data management in epidemiological research projects. The 'MOQA' package enables epidemiologists with none or low experience in R to generate basic data quality reports for a wide range of application scenarios. See <https://mosaic-greifswald.de/> for more information. Please read and cite the corresponding open access publication (using the former package-name) in METHODS OF INFORMATION IN MEDICINE by M. Bialke, H. Rau, T. Schwaneberg, R. Walk, T. Bahls and W. Hoffmann (2017) <doi:10.3414/ME16-01-0123>. <https://methods.schattauer.de/en/contents/most-recent-articles/issue/2483/issue/special/manuscript/27573/show.html>.

Title: Multi-Omic Integration via Sparse Singular Value Decomposition
person("Agustin", "Gonzalez-Reymundez", email = "agugonrey@gmail.com", role = c("aut","cre")),
person("Alexander", "Grueneberg", email = "cran@agrueneberg.info", role = c("aut")),
person("Ana", "Vazquez", email = "avazquez@msu.edu", role = c("ctb")))
Description: High dimensionality, noise and heterogeneity among
samples and features challenge the omic integration task. Here we
present an omic integration method based on sparse singular value
decomposition (SVD) to deal with these limitations, by: a. obtaining
the main axes of variation of the combined omics, b. imposing sparsity
constraints at both subjects (rows) and features (columns) levels
using Elastic Net type of shrinkage, and d. allowing both linear and
non-linear projections (via t-Stochastic Neighbor Embedding) of the
omic data to detect clusters in very convoluted data
Suggests: annotate, bigparallelr, bigstatsr, clValid, ComplexHeatmap,
fpc, ggplot2, ggpmisc, ggthemes, gridExtra, irlba, knitr, MASS,
Author: Agustin Gonzalez-Reymundez [aut, cre],