Contents
What is disease pathway?
Broadly, a disease pathway in the PPI network is a system of interacting proteins whose atypical activity collectively produces some disease phenotype. In the figure below, proteins associated with a disease are projected onto the protein-protein interaction (PPI) network.
What is a pathway score?
The proposed summary pathway score provides for each sample an overall evaluation of gene expression in a gene-set. It demonstrates the advantages of including all genes in the set and the synchronization of correlation direction.
How do you represent a pathway?
Pathways are represented as filled circles, known as nodes. The size of the node reflects the number of molecular entities (proteins, small molecules, genes, etc) within the pathway. Lines, known as edges, represent connections between a pathway and its subpathways in the Reactome pathway hierarchy.
What is a drug pathway?
Drug-pathway association means that the drug can affect the pathway by influencing the expression of genes in pathways through targeting one or more genes.
How are gene sets used in pathway analysis?
Early gene set analysis methods took a list of differentially expressed (DE) genes as input, and identify the sets in which the DE genes are over-represented or under-represented. The significance of each pathway is measured by calculating the probability that the observed number of DE genes in a given pathway were simply observed by chance.
How to get list of KEGG pathways and its list of genes?
Join ResearchGate to ask questions, get input, and advance your work. You can retrieve the gene set from KEGG pathways of an organism using the following codes in R. Here I took Staphylcoccus aureus MRSA252 (kegg code: sar) as an example.
How is the significance of a pathway determined?
The significance of each pathway is measured by calculating the probability that the observed number of DE genes in a given pathway were simply observed by chance. These approaches are known as Over-Representation Analysis (ORA). The methods in this first generation rely on a pre-defined threshold, which is used to determine a list of DE genes.
How are genes grouped based on functional similarity?
Grouping genes based on functional similarity can systematically enhance biological interpretation of large lists of genes derived from high throughput studies. The Functional Classification Tool generates a gene-to-gene similarity matrix based shared functional annotation using over 75,000 terms from 14 functional annotation sources.