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MetabolomicsIntegrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection
The metabolic effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on human blood plasma were characterized using multi-platform metabolic phenotyping with Nuclear Magnetic Resonance (NMR) spectroscopy and liquid chromatography-mass spectrometry (LC-MS). Quantitative mea...
2021-01-29 | MTBLS2014 | MetaboLights
MetabolomicsA novel strategy for mining and identification of acylcarnitines using data-independent-acquisition (DIA) based retention time prediction modeling and pseudo-characteristic fragmentation ions matching
It is a challenging work to screen, identify, and quantify acylcarnitines in complex biological samples. A method, based on the retention time (RT) prediction and data-independent acquisition strategies, was proposed for the large-scale identification of acylcarnitines using liquid chromatography co...
2021-10-06 | MTBLS1932 | MetaboLights
GenomicsAddressing transcriptomic assay heterogeneity for predictive modeling in cancer (NanoString)
Addressing transcriptomic assay heterogeneity for predictive modeling in cancer (NanoString)
PRJNA1431487 | ENA
GenomicsAddressing transcriptomic assay heterogeneity for predictive modeling in cancer (RNA-seq)
Addressing transcriptomic assay heterogeneity for predictive modeling in cancer (RNA-seq)
PRJNA1432095 | ENA
GenomicsPredictive modeling of chromatin features underlying replication timing
Predictive modeling of chromatin features underlying replication timing
PRJNA893672 | ENA
UnknownNovel Development of Predictive Feature Fingerprints to Identify Chemistry-Based Features for the Effective Drug Design of SARS-CoV-2 Target Antagonists and Inhibitors Using Machine Learning.
Not available
S-EPMC7905939 | biostudies-literature
ProteomicsPREDICTIVE MODELING OF THERAPEUTIC RESPONSE TO CHONDROITIN SULFATE/GLUCOSAMINE HYDROCHLORIDE IN KNEE OSTEOARTHRITIS
In the present study we explored potential protein biomarkers useful to predict the therapeutic response of osteoarthritis (OA) patients treated with pharmaceutical grade Chondroitin sulfate/Glucosamine hydrochloride (CS+GH; Droglican, Bioiberica), in order to optimize therapeutic outcomes.
ORGANISM(S): Homo sapiens (Human) 
2019-09-12 | PXD012444 | Pride
Predictive biomarkers Chondroitin sulfate/glucosamine hydrochloride Proteomics Osteoarthritis 
UnknownPrior Knowledge for Predictive Modeling: The Case of Acute Aquatic Toxicity.
Not available
S-EPMC9472271 | biostudies-literature
UnknownPotential clinical impact of predictive modeling of heterogeneous treatment effects: scoping review of the impact of the PATH Statement.
Not available
S-EPMC11100853 | biostudies-literature
TranscriptomicsAddressing transcriptomic assay heterogeneity for predictive modeling in cancer (NanoString)
The goal of this study was to evaluate how best to preprocess RNA-seq and NanoString data to, if possible, combine these data for larger cohort sizes in predictive modeling of clinical features. High-grade serous Ovarian Cancer is a highly heterogeneous disease with most data split into Microarray, ...
ORGANISM(S): Homo sapiens 
2026-03-31 | GSE322784 | GEO
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