2 citations · 2 across the 2 of their papers we have counts for
3 papers
EMMA: an R/Bioconductor package to automate tracking of metadata in functional enrichment analyses
Najla Abassi, Annekathrin Silvia Nedwed, Federico Marini
Summary: Functional enrichment analysis (FEA) is a widely used approach for interpreting high-throughput omics data. However, essential methodological details, such as software ver…
DeeDeeExperiment: Building an infrastructure for integrating and managing omics data analysis results in R/Bioconductor
Najla Abassi, Lea Schwarz, Edoardo Filippi +1
Summary: Modern omics experiments now involve multiple conditions and complex designs, producing an increasingly large set of differential expression and functional enrichment anal…
Insights, opportunities and challenges provided by large cell atlases
Martin Hemberg, Federico Marini, Shila Ghazanfar +27
The field of single-cell biology is growing rapidly and is generating large amounts of data from a variety of species, disease conditions, tissues, and organs. Coordinated efforts…