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Proteogenomic network analysis reveals dysregulated mechanisms and potential mediators in Parkinson’s disease

Study designIdentifying causal genes that can be further considered as potential therapeutic targets remains a complex undertaking24. Characterizing causal variants that underpin genetic associations...

Exploring the roles of RNAs in chromatin architecture using deep learning

In order to characterize the roles of caRNAs in 3D genome folding, we downloaded the genome-wide RNA-chromatin interactions in human foreskin fibroblast cells (HFFc6)...

Requirements for a dashboard optimized for melanoma patient care through user-centered context exploration

Ethics statementThis study was approved by the Ethics Committee of the Medical Faculty (approval number 22-10814-BO for CI and survey) and the Faculty of...

Explainable machine learning models for early gastric cancer diagnosis

Model evaluation analysisOur study evaluated several advanced machine learning models to find the best one for early gastric cancer diagnosis. As shown in Fig. 1,...

Understanding gene expression and genetic variation with MAGE

Genetic variation plays a crucial role in creating differences in how genes are expressed and how their instructions are processed (splicing). This variation contributes...

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