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Spatially resolved mass spectrometry at the single cell: recent innovations in proteomics and metabolomics
Biological systems are composed of heterogeneous populations of cells that
intercommunicate to form a functional living tissue. Biological function varies greatly across …
intercommunicate to form a functional living tissue. Biological function varies greatly across …
Spatial metabolomics and imaging mass spectrometry in the age of artificial intelligence
T Alexandrov - Annual review of biomedical data science, 2020 - annualreviews.org
Spatial metabolomics is an emerging field of omics research that has enabled localizing
metabolites, lipids, and drugs in tissue sections, a feat considered impossible just two …
metabolites, lipids, and drugs in tissue sections, a feat considered impossible just two …
Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that
can map the spatial distribution of molecules with high chemical specificity. IMS does not …
can map the spatial distribution of molecules with high chemical specificity. IMS does not …
Fully automated unconstrained analysis of high-resolution mass spectrometry data with machine learning
Mass spectrometry (MS) is a convenient, highly sensitive, and reliable method for the
analysis of complex mixtures, which is vital for materials science, life sciences fields such as …
analysis of complex mixtures, which is vital for materials science, life sciences fields such as …
A versatile deep learning architecture for classification and label-free prediction of hyperspectral images
Hyperspectral imaging is a technique that provides rich chemical or compositional
information not regularly available to traditional imaging modalities such as intensity …
information not regularly available to traditional imaging modalities such as intensity …
Mass spectrometry imaging for plant biology: a review
Mass spectrometry imaging (MSI) is a develo** technique to measure the spatio-temporal
distribution of many biomolecules in tissues. Over the preceding decade, MSI has been …
distribution of many biomolecules in tissues. Over the preceding decade, MSI has been …
MetGem software for the generation of molecular networks based on the t-SNE algorithm
F Olivon, N Elie, G Grelier, F Roussi… - Analytical …, 2018 - ACS Publications
Molecular networking (MN) is becoming a standard bioinformatics tool in the metabolomic
community. Its paradigm is based on the observation that compounds with a high degree of …
community. Its paradigm is based on the observation that compounds with a high degree of …
Mass spectrometry imaging and integration with other imaging modalities for greater molecular understanding of biological tissues
T Porta Siegel, G Hamm, J Bunch, J Cappell… - Molecular imaging and …, 2018 - Springer
Over the last two decades, mass spectrometry imaging (MSI) has been increasingly
employed to investigate the spatial distribution of a wide variety of molecules in complex …
employed to investigate the spatial distribution of a wide variety of molecules in complex …
Emerging computational methods in mass spectrometry imaging
Mass spectrometry imaging (MSI) is a powerful analytical technique that generates maps of
hundreds of molecules in biological samples with high sensitivity and molecular specificity …
hundreds of molecules in biological samples with high sensitivity and molecular specificity …
Data-driven identification of prognostic tumor subpopulations using spatially mapped t-SNE of mass spectrometry imaging data
The identification of tumor subpopulations that adversely affect patient outcomes is essential
for a more targeted investigation into how tumors develop detrimental phenotypes, as well …
for a more targeted investigation into how tumors develop detrimental phenotypes, as well …