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• W2487091181 endingPage "160275" @default.
• W2487091181 startingPage "160275" @default.
• W2487091181 abstract "The sizes of paralogues—gene families produced by ancestral duplication—are known to follow a power-law distribution. We examine the size distribution of gene sets or gene families where genes are grouped by a similar function or share a common property. The size distribution of Human Gene Nomenclature Committee (HGNC) gene sets deviate from the power-law, and can be fitted much better by a beta rank function. We propose a simple mechanism to break a power-law size distribution by a combination of splitting and merging operations. The largest gene sets are split into two to account for the subfunctional categories, and a small proportion of other gene sets are merged into larger sets as new common themes might be realized. These operations are not uncommon for a curator of gene sets. A simulation shows that iteration of these operations changes the size distribution of Ensembl paralogues and could lead to a distribution fitted by a rank beta function. We further illustrate application of beta rank function by the example of distribution of transcription factors and drug target genes among HGNC gene families." @default.
• W2487091181 created "2016-08-23" @default.
• W2487091181 creator A5022125219 @default.
• W2487091181 creator A5057425369 @default.
• W2487091181 creator A5066931410 @default.
• W2487091181 date "2016-08-01" @default.
• W2487091181 modified "2023-10-03" @default.
• W2487091181 title "Size distribution of function-based human gene sets and the split–merge model" @default.
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• W2487091181 doi "https://doi.org/10.1098/rsos.160275" @default.

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