ArticleJournal of bioinformatics and computational biology2016
Is the average shortest path length of gene set a reflection of their biological relatedness?
Article in Journal of bioinformatics and computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Construction and characterization of rectal cancer-related lncRNA-mRNA ceRNA network reveals prognostic biomarkers in rectal cancer.IET systems biology · 2021Article
- Discovering Cerebral Ischemic Stroke Associated Genes Based on Network Representation Learning.Frontiers in genetics · 2021Article
- Identification of the key target profiles underlying the drugs of narrow therapeutic index for treating cancer and cardiovascular disease.Computational and structural biotechnology journal · 2021Article
- Reconstruction and Analysis of Cattle Metabolic Networks in Normal and Acidosis Rumen Tissue.Animals : an open access journal from MDPI · 2020Article
- The Large Scale Structure of Human Metabolism Reveals Resilience via Extensive Signaling Crosstalk.Frontiers in physiology · 2020Article
- FOBI: an ontology to represent food intake data and associate it with metabolomic data.Database : the journal of biological databases and curation · 2020Article
- Bioinformatic prediction of critical genes and pathways involved in longevity in Drosophila melanogaster.Molecular genetics and genomics : MGG · 2019Article
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3 authors.
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Abstract
When a set of genes are identified to be related to a disease, say through gene expression analysis, it is common to examine the average distance among their protein products in the human interactome as a measure of biological relatedness of these genes. The reasoning for this is that, genes associated with a disease would tend to be functionally related, and that functionally related genes would be closely connected to each other in the interactome. Typically, average shortest path length (ASPL) of disease genes (although referred to as genes in the context of disease-associations, the interactions are among protein-products of these genes) is compared to ASPL of randomly selected genes or to ASPL in a randomly permuted network. We examined whether the ASPL of a set of genes is indeed a good measure of biological relatedness or whether it is simply a characteristic of the degree distribution of those genes. We examined the ASPL of genes sets of some disease and pathway associations and compared them to ASPL of three types of randomly selected control sets: uniform selection, from entire proteome, degree-matched selection, and random permutation of the network. We found that disease associated genes and their degree-matched random genes have comparable ASPL. In other words, ASPL is a characteristic of the degree of the genes and the network topology, and not that of functional coherence.
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