15 citations · 24 across the 5 of their papers we have counts for
5 papers
Frequency-domain alignment of heterogeneous, multidimensional separations data through complex orthogonal Procrustes analysis
Michael Sorochan Armstrong
Multidimensional separations data have the capacity to reveal detailed information about complex biological samples. However, data analysis has been an ongoing challenge in the are…
Single-cell spatial (scs) omics: Recent developments in data analysis
José Camacho, Michael Sorochan Armstrong, Luz García-Martínez +2
Over the past few years, technological advances have allowed for measurement of omics data at the cell level, creating a new type of data generally referred to as single-cell (sc)…
Unlocking new capabilities in the analysis of GCGC-TOFMS data with shift-invariant multi-linearity
Paul-Albert Schneide, Michael Sorochan Armstrong, Neal Gallagher +1
This paper introduces a novel deconvolution algorithm, shift-invariant multi-linearity (SIML), which significantly enhances the analysis of data from a comprehensive two-dimensiona…
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…
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…