Spatial Bias in Antibody Microarrays May Be an Underappreciated Source of Variability.
Sign Up to like & getrecommendations! Published in 2021 at "ACS sensors"
DOI: 10.1021/acssensors.0c02613
Abstract: Antibody microarrays enable multiplexed protein detection with minimal reagent consumption, but they continue to be plagued by lack of reproducibility. Chemically functionalized glass slides are used as substrates, yet antibody binding spatial inhomogeneity across the… read more here.
Keywords: bias antibody; source variability; antibody microarrays; antibody ... See more keywords
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocaa258
Abstract: Abstract Objective The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role.… read more here.
Keywords: machine learning; source variability; data source; variability ... See more keywords
Heterogeneity of Lipopolysaccharide as Source of Variability in Bioassays and LPS-Binding Proteins as Remedy
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms24098395
Abstract: Lipopolysaccharide (LPS), also referred to as endotoxin, is the major component of Gram-negative bacteria’s outer cell wall. It is one of the main types of pathogen-associated molecular patterns (PAMPs) that are known to elicit severe… read more here.
Keywords: heterogeneity; heterogeneity lipopolysaccharide; source variability; lipopolysaccharide source ... See more keywords