Metadata details for analysis AN002778
Study IDST001705
Analysis IDAN002778
Study TitleMachine learning-enabled renal cell carcinoma status prediction using multi-platform urine-based metabolomics (part-I)
InstituteUniversity of Georgia
SpeciesHomo sapiens
Ion_modeNEGATIVE
MS typeESI
MS Instrument NameThermo Q Exactive HF hybrid Orbitrap
MS Instrument TypeOrbitrap
Chromatography Instrument NameQ Exactive HF
Chromatography TypeHILIC
Chromatography ColumnWaters ACQUITY UPLC BEH HILIC (75 x 2.1mm,1.7um)
Solvent A
Solvent B
Gradient
Flow rate
Column Temperature
Retention time unitsMinutes
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