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We used machine learning (ML) to improve metabolite identification confidence in GC-MS data. This project was funded by PNNL's M/Q initiative. All data was collected on an Agilent GC 7890A coupled with a single quadrupole MSD 5975C. Metabolites were derivatized prior to analysis.
ORGANISM(S): Trichoderma Reesei (ncbitaxon:51453) Aspergillus (ncbitaxon:5052) Homo Sapiens (ncbitaxon:9606) Aspergillus Nidulans (ncbitaxon:162425) 
2022-07-20 | MSV000089933 | MassIVE
This study supports an active role for PLZF and RARα-PLZF in leukemogenesis, identifies upregulation of CRABPI as a novel mechanism contributing to retinoid resistance and reveals the ability of the reciprocal fusion gene products to mediate distinct; epigenetic effects contributing to the leukemic...
ORGANISM(S): Homo sapiens 
LFQ-MS profiling of hFWE4-positive vesicles and hFWE4-mediated alterations to cell surface proteome in epidermal keratinocytes
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2024-06-17 | MSV000095056 | MassIVE
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