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A variety of analyses presented here have established that rank ordering of genes within a linkage interval using UGET is a successful approach in many cases.
GeneDistiller offers different approaches to determine the most likely candidate genes: GeneDistiller can list all genes within a linkage interval together with gene specific information.
It can either be used as a tool to query, select and project genes from within a linkage interval together with gene specific data or to display rich information on human candidate genes obtained with other prioritisation tools or of the researcher's interest.
The candidate set specifies the genes, one or more of which are potentially associated with disease D (e.g., these genes might lie within a linkage interval that is identified by association studies).
The method of Oti et al. (2006) associates a gene with a disease if it lies within a linkage interval associated with the disease and interacts with ≥1 gene annotated with the disease.
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A disease is typically associated with a linkage interval if SNPs in that interval result in an increased susceptibility to the disease.
For example, when different values of α are applied, the AUC score fluctuates within a 1.1% band in the leave-one-out cross-validation against a linkage interval.
They can either be positional candidates from a linkage interval or functional candidates.
Second, in the validation against a linkage interval, we select control genes in each validation run as all genes that are located within the 10 Mb region centered around the disease gene under consideration.
These results suggest the capability of our method in identifying disease genes from a linkage interval.
In the validation against a linkage interval, we obtain an MRR of 10.41% and an AUC of 90.50%.
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