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ProteomicsC. elegans as a model for inter-individual variation in metabolism
Fox BW, Ponomarova O, Lee YU, Zhang G, Giese EG, Walker M, Roberto NM, Na H, Reis-Rodrigues P, Curtis BJ, Kolodziej AR, Crombie TA, Zdraljevic S, Yilmaz LS, Andersen EC, Schroeder FC, Walhout AJM (2022) C. elegans as a model for inter-individual variation in metabolism
ORGANISM(S): Caenorhabditis Elegans (ncbitaxon:6239) 
2021-07-13 | MSV000087810 | MassIVE
MetabolomicsGNPS - C. elegans as a model for inter-individual variation in metabolism
Fox BW, Ponomarova O, Lee YU, Zhang G, Giese EG, Walker M, Roberto NM, Na H, Reis-Rodrigues P, Curtis BJ, Kolodziej AR, Crombie TA, Zdraljevic S, Yilmaz LS, Andersen EC, Schroeder FC, Walhout AJM (2022) C. elegans as a model for inter-individual variation in metabolism
ORGANISM(S): Caenorhabditis Elegans (ncbitaxon:6239) 
2021-07-13 | MSV000087810 | GNPS
UnknownPerforming Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion.
Collecting multiple modalities of neuroimaging data on the same subject is increasingly becoming the norm in clinical practice and research. Fusing multiple modalities to find related patterns is a challenge in neuroimaging analysis. Canonical correlation analysis (CCA) is commonly used as a symmetr...
S-EPMC6618346 | biostudies-literature
UnknownPrediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.
Alzheimer's disease (AD), including its mild cognitive impairment (MCI) phase that may or may not progress into the AD, is the most ordinary form of dementia. It is extremely important to correctly identify patients during the MCI stage because this is the phase where AD may or may not develop. Thus...
S-EPMC6805777 | biostudies-literature
UnknownA prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts.

Background

Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allo...
S-EPMC12056793 | biostudies-literature
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