PathActMarker: an R package for inferring pathway activity of complex diseases
摘要
We developed PathActMarker, an R package for inferring pathway activity of complex diseases. The package integrates widely used normalization methods for gene expression data and provides pathway data from six sources. Meanwhile, eight state-of-the-art tools can be used to convert the high-dimensional gene expression data into a biologically interpretable low-dimensional pathway activity matrix, and extensive evaluations are also included to measure the performance of these tools. The package also contains functions to identify important pathways as biomarkers based on statistical and machine learning algorithms, and provides a set of functions for interpretation and analysis.