Optimizing pedigrees: Using a biasing system to determine likely inheritance systems
- Subject Areas
- Bioinformatics, Genetics, Mathematical Biology, Statistics
- Pedigree, Chi-Squared, Biasing System, Inheritance, Statistics, Algorithm
- © 2017 Ang
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Optimizing pedigrees: Using a biasing system to determine likely inheritance systems. PeerJ Preprints 5:e2871v5 https://doi.org/10.7287/peerj.preprints.2871v5
Pedigrees, though straightforward and versatile, lack the ability to tell us information about many individuals. Though numerical systems have been developed, there is currently no system to quantify the probability of a pedigree following certain inheritance systems. My system intends to fulfill that chasm by creating a flexible numerical system and testing it for variance. First, my system attempts to adapt inheritance system to known pedigree data. Then, it calculates the difference between the calculated values and the known pedigree data. It aggregates these values, then it uses a chi-squared analysis in order to determine the likelihood of said inheritance system. This is done for many different systems, until we have a general idea of which systems are probable and which are not.
I added figure headings and table headings to the manuscript.