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HTRX: an R package for learning non-contiguous haplotypes associated with a phenotype

View ORCID ProfileYaoling Yang, Daniel Lawson
doi: https://doi.org/10.1101/2022.11.29.518395
Yaoling Yang
1Department of Statistical Science, School of Mathematics, University of Bristol, Bristol, BS8 1UG, United Kingdom
2Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, United Kingdom
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  • For correspondence: yaoling.yang@bristol.ac.uk
Daniel Lawson
1Department of Statistical Science, School of Mathematics, University of Bristol, Bristol, BS8 1UG, United Kingdom
2Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol, BS8 2BN, United Kingdom
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Abstract

Summary Haplotype Trend Regression with eXtra flexibility (HTRX) is an R package which uses cross-validation to learn sets of interacting features for a prediction. HTRX identifies haplotypes composed of non-contiguous single nucleotide polymorphisms (SNPs) associated with a phenotype. To reduce the space and computational complexity when investigating many features, we constrain the search by growing good feature sets using ‘Cumulative HTRX’, and limit the maximum complexity of a feature set.

Availability HTRX is implemented in R and is available under GPL-3 license from CRAN and Github at: https://github.com/YaolingYang/HTRX.

Contact yaoling.yang{at}bristol.ac.uk

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/YaolingYang/HTRX/tree/main/R

  • https://CRAN.R-project.org/package=HTRX

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted December 02, 2022.
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HTRX: an R package for learning non-contiguous haplotypes associated with a phenotype
Yaoling Yang, Daniel Lawson
bioRxiv 2022.11.29.518395; doi: https://doi.org/10.1101/2022.11.29.518395
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HTRX: an R package for learning non-contiguous haplotypes associated with a phenotype
Yaoling Yang, Daniel Lawson
bioRxiv 2022.11.29.518395; doi: https://doi.org/10.1101/2022.11.29.518395

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