A multi-batch design to deliver robust estimates of efficacy and reduce animal use – a syngeneic tumour case study
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-62509-7
Abstract: Phenotypic plasticity, the ability of a living organism to respond to the environment, can lead to conclusions from experiments that are idiosyncratic to a particular environment. The level of environmental responsiveness can result in difficulties… read more here.
Keywords: multi batch; syngeneic tumour; batch design; batch ... See more keywords
A robust multi-batch L-BFGS method for machine learning*
Sign Up to like & getrecommendations! Published in 2020 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2019.1658107
Abstract: ABSTRACT This paper describes an implementation of the L-BFGS method designed to deal with two adversarial situations. The first occurs in distributed computing environments where some of the computational nodes devoted to the evaluation of… read more here.
Keywords: multi batch; batch; machine learning; bfgs method ... See more keywords
Batch alignment via retention orders for preprocessing large-scale multi-batch LC-MS experiments
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac407
Abstract: MOTIVATION Meticulous selection of chromatographic peak detection parameters and algorithms is a crucial step in preprocessing LC-MS data. However, as mass-to-charge ratio (m/z) and retention time shifts are larger between batches than within batches, finding… read more here.
Keywords: retention; multi batch; large scale; batch experiments ... See more keywords
Regularized adversarial learning for normalization of multi-batch untargeted metabolomics data
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad096
Abstract: Abstract Motivation Untargeted metabolomics by mass spectrometry is the method of choice for unbiased analysis of molecules in complex samples of biological, clinical or environmental relevance. The exceptional versatility and sensitivity of modern high-resolution instruments… read more here.
Keywords: untargeted metabolomics; multi batch; regularized adversarial; adversarial learning ... See more keywords