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URL: https://github.com/aametwally/Metabolic_Subphenotype_Predictor
Proper Citation: Metabolic Subphenotype Predictor (RRID:SCR_027192)
Description: Software repository contains code for Inference of T2D metabolic subphenotypes (MuscleIR, Beta-cell Function, Incretin Effect, Hepatic IR), Identification of dominant metabolic subphenotype, Feature extraction from glucose tiemseries, Extraction of reduced representation of glucose tiemseries,Visualization of metabolic phenotypes based on various glucose-related metrics,Concordance between CGM and Venous glucose values from at home and at clinical setting, Classification of metabolic subphenotypes.
Resource Type: software resource, source code
Defining Citation: PMID:39715896
Keywords: Inference of T2D metabolic subphenotypes, identification of dominant metabolic subphenotype, extraction from glucose tiemseries, visualization of metabolic phenotypes, classification of metabolic subphenotype, s
Funding: NHLBI 2T32HL09804911; NIDDK R01 DK110186; NIDDK U01 DK085545; NIDDK U01 DK105535; NIDDK UM1DK126185; Stanford Diabetes Research Center ; Stanford PHIND award ; Wellcome Trust
Availability: Free, Available for download, Freely available
Resource Name: Metabolic Subphenotype Predictor
Resource ID: SCR_027192
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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