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Despite technological advances in the proteomics field, sample preparation still represents the main bottleneck in mass spectrometry (MS) analysis. Bead-based protein aggregation techniques have recently emerged as an efficient, reproducible, and high-throughput alternative for protein extraction an...
ORGANISM(S): Arabidopsis thaliana (Mouse-ear cress) Mus musculus (Mouse) Homo sapiens (Human) Escherichia coli Rattus norvegicus (Rat) 
2024-05-31 | PXD048358 | Pride
This study introduces a predictive classifier for breast cancer-related proteins, utilising a combination of protein sequence descriptors and machine learning techniques. The best-performing classifier is a Multi Layer Perceptron (artificial neural network) with 300 features, achieving an average Ar...
2023-10-09 | BIOMD0000001076 | BioModels
Preterm birth (PTB) is a leading global cause of infant mortality. Risk factors include genetics, lifestyle choices and infection. Understanding the mechanism of PTB could aid the development of novel approaches to prevent PTB. This study aimed to investigate the metabolic biomarkers of PTB in early...
2023-05-24 | MTBLS1990 | MetaboLights
Artificial neural networks enable genome-scale simulations of intracellular signaling
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