Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
The incorporation of machine learning methods into proteomics workflows improves the
identification of disease-relevant biomarkers and biological pathways. However, machine …
identification of disease-relevant biomarkers and biological pathways. However, machine …
Unravelling potential biomarkers for acute and chronic brucellosis through proteomic and bioinformatic approaches
Y Yang, K Qiao, Y Yu, Y Zong, C Liu… - Frontiers in Cellular and …, 2023 - frontiersin.org
Introduction This study aimed to identify biomarkers for acute and chronic brucellosis using
advanced proteomic and bioinformatic methods. Methods Blood samples from individuals …
advanced proteomic and bioinformatic methods. Methods Blood samples from individuals …
Population scale proteomics enables adaptive digital twin modelling in sepsis
AM Scott, L Mellhammar, E Malmström… - medRxiv, 2024 - medrxiv.org
Sepsis is one of the leading causes of mortality in the world. Currently, the heterogeneity of
sepsis makes it challenging to determine the molecular mechanisms that define the …
sepsis makes it challenging to determine the molecular mechanisms that define the …
Assessment of false discovery rate control in tandem mass spectrometry analysis using entrapment
A pressing statistical challenge in the field of mass spectrometry proteomics is how to assess
whether a given software tool provides accurate error control. Each software tool for …
whether a given software tool provides accurate error control. Each software tool for …