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Louisiana State University Health Sciences Center Shreveport Metabolomics and Machine Learning Core Facility (RRID:SCR_027717)Copy Citation Copied
URL: https://www.lsuhs.edu/centers/center-for-post-transcriptional-regulation/research-cores
Proper Citation: Louisiana State University Health Sciences Center Shreveport Metabolomics and Machine Learning Core Facility (RRID:SCR_027717)
Description: Metabolomics and Machine Learning Core provides metabolite profiling and stable-isotope tracing, molecular modeling, and machine learning to integrate datasets across transcriptomic, proteomic, and metabolomic analysis.
Synonyms: Metabolomics and Machine Learning Core
Resource Type: service resource, access service resource, core facility
Keywords: ABRF, metabolite profiling, stable-isotope tracing, molecular modeling, machine learning, integrate datasets, data analysis,
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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