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Paper Details

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation.
Bioinformatics
10
2022
massNet, mouse, patient, tumor
Author NameAffiliation
Michael S ReganBrigham and Women's Hospital, Harvard Medical School
Jeffrey N AgarNortheastern University
Jann N SarkariaMayo Clinic
William M WellsBrigham and Women's Hospital, Harvard Medical School
William M Wells
Nathalie Y R AgarBrigham and Women's Hospital, Harvard Medical School
Nathalie Y R AgarBrigham and Women's Hospital, Harvard Medical School
Nathalie Y R AgarDana-Farber Cancer Institute, Harvard Medical School
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Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchThe NIH Common Fund's National Metabolomics Data Repository (NMDR) is now accepting metabolomics data for small and large studies on cells, tissues and organisms via the Metabolomics Workbench. We can accommodate a variety of metabolite analyses, including, but not limited to MS and NMR. In order to ensure reproducibility and interoperable use of data, we require experimental metadata (see tutorials) to be deposited along with the metabolite measurements. Processed data (measurements) maybe in the form of quantitated metabolite concentrations, MS peak height/area values, LC retention times, NMR binned areas, etc. Raw data in the form of MS and NMR binary files and associated parameter files may also be uploaded. We accept data from both targeted and untargeted studies. The Metabolomics Workbench also provides a suite of tools for analysis and visualization of the data. Step-by-step instructions for the whole process are provided on our Upload and Manage Experimental Data and Metadata page.Link
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink
Metabolomics WorkbenchData repository for metabolomics data and metadata, metabolite standards, protocols, analysis tools, tutorials and trainingLink