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Multipartite network analysis to identify environmental and genetic associations of metabolic syndrome in the Korean population

Alberti, K. G. et al. Harmonizing the metabolic syndrome: A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention;...

STIE: Single-cell level deconvolution, convolution, and clustering in in situ capturing-based spatial transcriptomics

Single-cell resolution does not equal single-cell levelOn the 10X Visium platform, the tissue sections are placed onto glass slides, where the spots of the...

Specific blood metabolite associations with Gout: a Mendelian randomization study

In this study, we utilized the causal associations between blood metabolites and gout through a bidirectional two-sample Mendelian Randomization (MR) analysis. We employed single...

UNSEG: unsupervised segmentation of cells and their nuclei in complex tissue samples

Generation of GIT dataset and other imagesFor GIT dataset, formalin-fixed paraffin-embedded (FFPE) tissue microarray (TMA) slides were obtained from Pantomics (Pantomics, DID381) Tissue TMA...

PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features | BMC Bioinformatics

Hyper-parameters analysisThe objective of this section is to determine the optimal configuration values for the hyper-parameters employed in the topology of the Deep Neural...

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