HLA and HIV Infection Progression: Application of the Minimum Description Length Principle to Statistical Genetics
<|reference_start|>HLA and HIV Infection Progression: Application of the Minimum Description Length Principle to Statistical Genetics: The minimum description length (MDL) principle states that the best model to account for some data minimizes the sum of the lengths, in bits, of the descriptions of the model and the residual error. The description length is thus a criterion for model selection. Description-length analysis of HLA alleles from the Chicago MACS cohort enables classification of alleles associated with plasma HIV RNA, an indicator of infection progression. Progression variation is most strongly associated with HLA-B. Individuals without B58s supertype alleles average viral RNA levels 3.6-fold greater than individuals with them.<|reference_end|>
@article{hraber2005hla,
    title={HLA and HIV Infection Progression: Application of the Minimum
  Description Length Principle to Statistical Genetics},
    author={Peter T. Hraber, Bette T. Korber, Steven Wolinsky, Henry A. Erlich,
  Elizabeth A. Trachtenberg, Thomas B. Kepler},
    journal={Lecture Notes in Computer Science Volume 4345, 2006, pp 1-12},
    year={2005},
    doi={10.1007/11946465_1},
    number={Santa Fe Institute Working Paper 03-04-023},
    archivePrefix={arXiv},
    eprint={q-bio/0505050},
    primaryClass={q-bio.QM cs.IT math.IT}
}