Exclusive functional signatures for gene annotation with vast OpenOrd layout

A biological study can produce a limited number of marker genes, not large enough to be used in gene set enrichment analysis. Here we suggest VOL-Gene, a graph-based algorithm that partitions all genes into non-overlapping classes of functionally related genes, thus assigning a single function to ea...

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Vydané v:Algorithms for molecular biology Ročník 20; číslo 1; s. 17 - 15
Hlavní autori: Buzanov, Gleb, Makeev, Vsevolod
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England BioMed Central Ltd 29.09.2025
Springer Nature B.V
BMC
Predmet:
Algorithms
Annotations
Anopheles
Biological activity
Enrichr database
Functional annotation
Gene clustering
Gene functions
Gene set enrichment analysis
Genes
Graph representations
Graph-based algorithm
OpenOrd
Signatures
Gene functions
Gene clustering
Graph-based algorithm
Functional annotation
OpenOrd
Bioinformatics
Enrichr database
ISSN:1748-7188, 1748-7188
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Shrnutí:A biological study can produce a limited number of marker genes, not large enough to be used in gene set enrichment analysis. Here we suggest VOL-Gene, a graph-based algorithm that partitions all genes into non-overlapping classes of functionally related genes, thus assigning a single function to each gene. To this end, many functional signatures are combined into a single weighted graph, which is partitioned into cliques. For a poorly annotated marker gene, our approach fetches a number of genes that belong to the same class, some of which can be well annotated and are likely to take part in the same biological process.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1748-7188
1748-7188
DOI:10.1186/s13015-025-00290-w