Tamás Korcsmáros
0000-0003-1717-996X
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115 papers found
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Cytokine responsive transcriptional networks in inflammatory bowel disease
Studying the effects of the probiotic bifidobacteria on gut health and intestinal epithelial cells function
Integrated network analysis using patient-specific single-nucleotide polymorphism profiles uncovers new pathways involved in ulcerative colitis pathogenesis
Machine learning approaches to identify IBD biomarkers from longitudinal microbiome data
Regulatory network analysis of Paneth cell and goblet cell enriched gut organoids using transcriptomics approaches
Multi-omic data integration with network analysis reveals underlying molecular mechanisms driving Crohn's disease heterogeneity
A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in a complex disease
Identifying Molecular Features Contributing to Disease Heterogeneity in Crohn's Disease Using Multi-Omic Data Integration
Analysing Intestinal Organoids in a Multi-Omics, Systems Biology Framework to Investigate Functional Processes Affected by Autophagy in Crohn's Disease
Systems Genomics of Ulcerative Colitis: Combining Gwas, Signalling and Transcriptional Networks to Uncover Novel Pathogenic Pathways
Predicting Endoscopic Response in Ustekinumab Treated Patients With Crohn's Disease Trhough an Integrated Multi-Omics Biomarker
Targeted interplay between bacterial pathogens and host autophagy
The regulatory landscape of intestinal cell-sinvestigating the transcriptional effect of autophagy impairment observed in Crohn's disease using organoid and network biology approaches
Systems genomics of ulcerative colitis: combining GWAS and signalling networks for patient stratification and individualised drug targeting in ulcerative colitis
Signalling and transcriptional network propagation uncovers novel ulcerative colitis pathogenetic pathways from single-nucleotide polymorphisms
An integrated multi-omics biomarker predicting endoscopic response in ustekinumab treated patients with Crohn's disease
Machine learning approaches to identify prognosis indicators from microbiome data
Multi-omic data integration assisted identification of molecular features contributing to disease heterogeneity in Crohn's disease
Analysing intestinal organoids in a multi-omics, systems biology framework to investigate functional processes affected in Crohn's disease due to autophagy impairment
Integrative analysis of Paneth cell proteomic and transcriptomic data from intestinal organoids reveals functional processes dependent on autophagy
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