15 citations · 23 across the 4 of their papers we have counts for
4 papers
An alignment-agnostic methodology for the analysis of designed separations data
Michael Sorochan Armstrong, José Camacho
Chemical separations data are typically analysed in the time domain using methods that integrate the discrete elution bands. Integrating the same chemical components across several…
Considerations for missing data, outliers and transformations in permutation testing for ANOVA, ASCA(+) and related factorizations
Oliver Polushkina Merchanskaya, Michael D. Sorochan Armstrong, Carolina Gómez Llorente +5
Multifactorial experimental designs allow us to assess the contribution of several factors, and potentially their interactions, to one or several responses of interests. Following…
Population Power Curves in ASCA with Permutation Testing
Jose Camacho, Michael Sorochan Armstrong
In this paper, we revisit the Power Curves in ANOVA Simultaneous Component Analysis (ASCA) based on permutation testing, and introduce the Population Curves derived from population…
Untargeted Region of Interest Selection for GC-MS Data using a Pseudo F-Ratio Moving Window (FRMV)
Ryland T. Giebelhaus, Michael D. Sorochan Armstrong, A. Paulina de la Mata +1
There are many challenges associated with analysing gas chromatography - mass spectrometry (GC-MS) data. Many of these challenges stem from the fact that electron ionisation can ma…