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Lachlan Stuart

Showing results (1-10 of 9) with videos related to

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BMC Bioinformatics|April 5, 2020
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry imagesKatja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, et al.
Bioinformatics (Oxford, England)|February 13, 2020
ColocML: machine learning quantifies co-localization between mass spectrometry imagesKatja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, et al.
Nature Communications|October 22, 2024
METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learningBishoy Wadie, Lachlan Stuart, Christopher M Rath, et al.
Analytical Chemistry|June 16, 2022
Rapid and Automatic Annotation of Multiple On-Tissue Chemical Modifications in Mass Spectrometry Imaging with MetaspaceEvan A Larson, Trevor T Forsman, Lachlan Stuart, et al.
Nature Computational Science|October 15, 2025
In silico biological discovery with large perturbation modelsDjordje Miladinovic, Tobias Höppe, Mathieu Chevalley, et al.
Analytical Chemistry|February 15, 2021
Adaptive Pixel Mass Recalibration for Mass Spectrometry Imaging Based on Locally Endogenous Biological SignalsRaphaël La Rocca, Christopher Kune, Mathieu Tiquet, et al.
Metabolites|August 26, 2021
Facilitating Imaging Mass Spectrometry of Microbial Specialized Metabolites with METASPACEDon D Nguyen, Veronika Saharuka, Vitaly Kovalev, et al.
Nature Metabolism|September 9, 2024
Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancerElena Buglakova, Måns Ekelöf, Michaela Schwaiger-Haber, et al.
Biorxiv : the Preprint Server for Biology|March 11, 2024
<sup>13</sup>C-SpaceM: Spatial single-cell isotope tracing reveals heterogeneity of <i>de novo</i> fatty acid synthesis in cancerElena Buglakova, Måns Ekelöf, Michaela Schwaiger-Haber, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|April 5, 2020
OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry imagesKatja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, et al.
Bioinformatics (Oxford, England)|February 13, 2020
ColocML: machine learning quantifies co-localization between mass spectrometry imagesKatja Ovchinnikova, Lachlan Stuart, Alexander Rakhlin, et al.
Nature Communications|October 22, 2024
METASPACE-ML: Context-specific metabolite annotation for imaging mass spectrometry using machine learningBishoy Wadie, Lachlan Stuart, Christopher M Rath, et al.
Analytical Chemistry|June 16, 2022
Rapid and Automatic Annotation of Multiple On-Tissue Chemical Modifications in Mass Spectrometry Imaging with MetaspaceEvan A Larson, Trevor T Forsman, Lachlan Stuart, et al.
Nature Computational Science|October 15, 2025
In silico biological discovery with large perturbation modelsDjordje Miladinovic, Tobias Höppe, Mathieu Chevalley, et al.
Analytical Chemistry|February 15, 2021
Adaptive Pixel Mass Recalibration for Mass Spectrometry Imaging Based on Locally Endogenous Biological SignalsRaphaël La Rocca, Christopher Kune, Mathieu Tiquet, et al.
Metabolites|August 26, 2021
Facilitating Imaging Mass Spectrometry of Microbial Specialized Metabolites with METASPACEDon D Nguyen, Veronika Saharuka, Vitaly Kovalev, et al.
Nature Metabolism|September 9, 2024
Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancerElena Buglakova, Måns Ekelöf, Michaela Schwaiger-Haber, et al.
Biorxiv : the Preprint Server for Biology|March 11, 2024
<sup>13</sup>C-SpaceM: Spatial single-cell isotope tracing reveals heterogeneity of <i>de novo</i> fatty acid synthesis in cancerElena Buglakova, Måns Ekelöf, Michaela Schwaiger-Haber, et al.
Pageof 1