Yasir Rahmatallah

TL;DR: The survey describes the most commonly encountered impediment of OFDM systems, the PAPR problem and consequent impact on power amplifiers leading to nonlinear distortion, and provides insights into the transmitted power constraint by showing the possibility of satisfying the constraint without added complexity by the use of companding transforms with suitably chosen companding parameters.

TL;DR: Gene Sets Net Correlations Analysis (GSNCA) is a new approach for the analysis of differentially coexpressed pathways that also evaluates the importance of the genes in the pathways, thus providing unique information that may result in the generation of novel biological hypotheses.

TL;DR: This evaluation provides a concise guideline for selecting GSA approaches, best performing under particular experimental settings in the context of RNA-seq, and finds that competitive methods have lower power as well as robustness to the samples heterogeneity than self-contained methods, leading to poor results reproducibility.

TL;DR: Package GSAR provides a set of multivariate non-parametric statistical methods that test a complex null hypothesis against specific alternatives, applicable to any type of omics data that can be represented in a matrix format.

TL;DR: This result emphasizes the importance of using self-contained non-parametric multivariate tests for detecting differentially expressed pathways for RNA-Seq data and warns against applying gene-level GSA tests, especially because of their high level of Type I error rates for both, simulated and real data.