1.2k citations · 1.3k across the 2 of their papers we have counts for
3 papers
Essential guidelines for computational method benchmarking
Lukas M. Weber, Wouter Saelens, Robrecht Cannoodt +6
In computational biology and other sciences, researchers are frequently faced with a choice between several computational methods for performing data analyses. Benchmarking studies…
Robustly detecting differential expression in RNA sequencing data using observation weights
Xiaobei Zhou, Helen Lindsay, Mark D. Robinson
A popular approach for comparing gene expression levels between (replicated) conditions of RNA sequencing data relies on counting reads that map to features of interest. Within suc…
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
Simon Anders, Davis J. McCarthy, Yunshen Chen +4
RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas of biology, including studies into gene regulation, development and disease. Of…