5 citations · 12 across the 5 of their papers we have counts for
6 papers
Learning and teaching biological data science in the Bioconductor community
Jenny Drnevich, Frederick J. Tan, Fabricio Almeida-Silva +15
Modern biological research is increasingly data-intensive, leading to a growing demand for effective training in biological data science. In this article, we provide an overview of…
Omnibenchmark: transparent, reproducible, extensible and standardized orchestration of solo and collaborative benchmarks
Izaskun Mallona, Almut Luetge, Ben Carrillo +6
Benchmarking involves designing, running and disseminating rigorous performance assessments of methods, most often for data analysis and software tools, but the process can also be…
Building a continuous benchmarking ecosystem in bioinformatics
Izaskun Mallona, Charlotte Soneson, Ben Carrillo +5
Benchmarking, which involves collecting reference datasets and demonstrating method performances, is a requirement for the development of new computational tools, but also becomes…
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…
A method for visual identification of small sample subgroups and potential biomarkers
Charlotte Soneson, Magnus Fontes
In order to find previously unknown subgroups in biomedical data and generate testable hypotheses, visually guided exploratory analysis can be of tremendous importance. In this pap…
A framework for list representation, enabling list stabilization through incorporation of gene exchangeabilities
Charlotte Soneson, Magnus Fontes
Analysis of multivariate data sets from e.g. microarray studies frequently results in lists of genes which are associated with some response of interest. The biological interpretat…