Litcius/Paper detail

Principal component analysis for automated classification of 2D spectra and interferograms of protein therapeutics: influence of noise, reconstruction details, and data preparation

Robert G. Brinson, K. Wade Elliott, Luke W. Arbogast, David A. Sheen, John P. Giddens, John P. Marino, Frank Delaglio

2020Journal of Biomolecular NMR19 citationsDOI

Topics & Concepts

Principal component analysisComputer scienceNoise (video)HistogramDistortion (music)Pattern recognition (psychology)Artificial intelligenceData miningContrast (vision)Image (mathematics)AmplifierBandwidth (computing)Computer networkCell Image Analysis TechniquesProtein purification and stabilityAdvanced Biosensing Techniques and Applications
Principal component analysis for automated classification of 2D spectra and interferograms of protein therapeutics: influence of noise, reconstruction details, and data preparation | Litcius