Summary of Study ST002045
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001292. The data can be accessed directly via it's Project DOI: 10.21228/M8Q70T This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST002045 |
Study Title | massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation |
Study Summary | The patient-derived xenograft (PDX) mouse brain tumor model of glioblastoma (GBM) samples were analyzed by 2D MALDI FT ICR MSI. |
Institute | Brigham and Women's Hospital |
Department | Department of Neurosurgery |
Laboratory | Nathalie Y.R. Agar |
Last Name | Abdelmoula |
First Name | Walid |
Address | 60 Fenwood RD, Boston, MA |
wahassan@bwh.harvard.edu | |
Phone | 8572149765 |
Submit Date | 2021-12-06 |
Raw Data Available | Yes |
Raw Data File Type(s) | h5 |
Analysis Type Detail | MALDI-MS |
Release Date | 2022-01-04 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Treatment:
Treatment ID: | TR002139 |
Treatment Summary: | N/A |