3 papers
math.NA2025
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…
stat.CO2024
Single-cell spatial (scs) omics: Recent developments in data analysis
José Camacho, Michael Sorochan Armstrong, Luz GarcÃa-MartÃnez +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)…
eess.SP2024
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…