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Machine Learning-Enabled Renal Cell Carcinoma Status Predic..:

Olatomiwa O. Bifarin (11014728) ; David A. Gaul (2736385) ; Samyukta Sah (11014731)...
https://figshare.com/articles/journal_contribution/Machine_Learning-Enabled_Renal_Cell_Carcinoma_Status_Prediction_Using_Multiplatform_Urine-Based_Metabolomics/14830950. , 2021

Link: https://doi.org/10.1021/acs.jproteome.1c00213.s001

RT Journal
T1 <Title>Machine Learning-Enabled Renal Cell Carcinoma Status Prediction Using Multiplatform Urine-Based Metabolomics</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14830950&Exemplar=1&LAN=DE
				
A1 Olatomiwa O. Bifarin (11014728)
A1 David A. Gaul (2736385)
A1 Samyukta Sah (11014731)
A1 Rebecca S. Arnold (11014734)
A1 Kenneth Ogan (11014737)
A1 Viraj A. Master (10978137)
A1 David L. Roberts (397953)
A1 Sharon H. Bergquist (11014740)
A1 John A. Petros (2193706)
A1 Facundo M. Fernández (1583692)
A1 Arthur S. Edison (159894)
YR 2021
K1 Biochemistry
K1 Cell Biology
K1 Genetics
K1 Physiology
K1 Biotechnology
K1 Immunology
K1 Marine Biology
K1 Cancer
K1 Hematology
K1 Chemical Sciences not elsewhere classified
K1 model cohort
K1 machine Learning-Enabled Renal Cell
K1 Metabolomics Workbench Study IDs
K1 RCC status prediction
K1 Multiplatform Urine-Based Metabolom
K1 ML
K1 candidate metabolomic panels
K1 105 RCC patients
K1 test cohort
K1 AUC
K1 NMR
K1 ST
K1 LC
JF https://figshare.com/articles/journal_contribution/Machine_Learning-Enabled_Renal_Cell_Carcinoma_Status_Prediction_Using_Multiplatform_Urine-Based_Metabolomics/14830950
LK http://dx.doi.org/https://doi.org/10.1021/acs.jproteome.1c00213.s001
DO https://doi.org/10.1021/acs.jproteome.1c00213.s001
SF ELIB - SuUB Bremen

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