A graphical algorithm for fast computation of identity coefficients and generalized kinship coefficients
Bioinformatics, ISSN: 1367-4803, Vol: 25, Issue: 12, Page: 1561-1563
2009
- 20Citations
- 35Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations20
- Citation Indexes20
- 20
- CrossRef19
- Captures35
- Readers35
- 35
- Mentions1
- References1
- Wikipedia1
Article Description
Computing the probability of identity by descent sharing among n genes given only the pedigree of those genes is a computationally challenging problem, if n or the pedigree size is large. Here, I present a novel graphical algorithm for efficiently computing all generalized kinship coefficients for n genes. The graphical description transforms the problem from doing many recursion on the pedigree to doing a single traversal of a structure referred to as the kinship graph. © The Author 2009. Published by Oxford University Press. All rights reserved.
Bibliographic Details
Oxford University Press (OUP)
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