Bioinformatics methods for mass spectrometry-based proteomics data analysis
Recent advances in mass spectrometry (MS)-based proteomics have enabled tremendous
progress in the understanding of cellular mechanisms, disease progression, and the …
progress in the understanding of cellular mechanisms, disease progression, and the …
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 …
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 …
Peak learning of mass spectrometry imaging data using artificial neural networks
Mass spectrometry imaging (MSI) is an emerging technology that holds potential for
improving, biomarker discovery, metabolomics research, pharmaceutical applications and …
improving, biomarker discovery, metabolomics research, pharmaceutical applications and …
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 …
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 …
Cellular resolution in clinical MALDI mass spectrometry imaging: the latest advancements and current challenges
Mass spectrometry (MS) is the workhorse of metabolomics, proteomics and lipidomics. Mass
spectrometry imaging (MSI), its extension to spatially resolved analysis of tissues, is a …
spectrometry imaging (MSI), its extension to spatially resolved analysis of tissues, is a …
MALDI imaging mass spectrometry: statistical data analysis and current computational challenges
T Alexandrov - BMC bioinformatics, 2012 - Springer
Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) imaging mass
spectrometry, also called MALDI-imaging, is a label-free bioanalytical technique used for …
spectrometry, also called MALDI-imaging, is a label-free bioanalytical technique used for …
Imaging mass spectrometry: instrumentation, applications, and combination with other visualization techniques
A Bodzon‐Kulakowska, P Suder - Mass spectrometry reviews, 2016 - Wiley Online Library
Imaging Mass Spectrometry (IMS) is strengthening its position as a valuable analytical tool. It
has unique ability to identify structures and to unravel molecular changes that occur in the …
has unique ability to identify structures and to unravel molecular changes that occur in the …
Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival
Molecular heterogeneity is a key feature of glioblastoma that impedes patient stratification
and leads to large discrepancies in mean patient survival. Here, we analyze a cohort of 96 …
and leads to large discrepancies in mean patient survival. Here, we analyze a cohort of 96 …