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Transcriptomic Module Discovery of Diarrhea-Predominant Irritable Bowel Syndrome: A Causal Network Inference Approach
by
Gualandi, Nicolò
, Cocca, Massimiliano
, Russo, Francesco
, Guido, Davide
, Aloisio, Michelangelo
, Mallardi, Domenica
, Ura, Blendi
, Maqoud, Fatima
in
Biomarkers
/ Biopsy
/ Computational Biology - methods
/ Datasets
/ Diarrhea - genetics
/ Disease
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene Regulatory Networks
/ Genomics
/ Humans
/ Irritable bowel syndrome
/ Irritable Bowel Syndrome - genetics
/ Irritable Bowel Syndrome - metabolism
/ Modularity
/ Pathophysiology
/ Structural equation modeling
/ Transcriptome
2024
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Transcriptomic Module Discovery of Diarrhea-Predominant Irritable Bowel Syndrome: A Causal Network Inference Approach
by
Gualandi, Nicolò
, Cocca, Massimiliano
, Russo, Francesco
, Guido, Davide
, Aloisio, Michelangelo
, Mallardi, Domenica
, Ura, Blendi
, Maqoud, Fatima
in
Biomarkers
/ Biopsy
/ Computational Biology - methods
/ Datasets
/ Diarrhea - genetics
/ Disease
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene Regulatory Networks
/ Genomics
/ Humans
/ Irritable bowel syndrome
/ Irritable Bowel Syndrome - genetics
/ Irritable Bowel Syndrome - metabolism
/ Modularity
/ Pathophysiology
/ Structural equation modeling
/ Transcriptome
2024
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Transcriptomic Module Discovery of Diarrhea-Predominant Irritable Bowel Syndrome: A Causal Network Inference Approach
by
Gualandi, Nicolò
, Cocca, Massimiliano
, Russo, Francesco
, Guido, Davide
, Aloisio, Michelangelo
, Mallardi, Domenica
, Ura, Blendi
, Maqoud, Fatima
in
Biomarkers
/ Biopsy
/ Computational Biology - methods
/ Datasets
/ Diarrhea - genetics
/ Disease
/ Gene expression
/ Gene Expression Profiling - methods
/ Gene Regulatory Networks
/ Genomics
/ Humans
/ Irritable bowel syndrome
/ Irritable Bowel Syndrome - genetics
/ Irritable Bowel Syndrome - metabolism
/ Modularity
/ Pathophysiology
/ Structural equation modeling
/ Transcriptome
2024
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Transcriptomic Module Discovery of Diarrhea-Predominant Irritable Bowel Syndrome: A Causal Network Inference Approach
Journal Article
Transcriptomic Module Discovery of Diarrhea-Predominant Irritable Bowel Syndrome: A Causal Network Inference Approach
2024
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Overview
Irritable bowel syndrome with diarrhea (IBS-D) is the most prevalent subtype of IBS, characterized by chronic gastrointestinal symptoms in the absence of identifiable pathological findings. This study aims to investigate the molecular mechanisms underlying IBS-D using transcriptomic data. By employing causal network inference methods, we identify key transcriptomic modules associated with IBS-D. Utilizing data from public databases and applying advanced computational techniques, we uncover potential biomarkers and therapeutic targets. Our analysis reveals significant molecular alterations that affect cellular functions, offering new insights into the complex pathophysiology of IBS-D. These findings enhance our understanding of the disease and may foster the development of more effective treatments.
Publisher
MDPI AG
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