GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction

@article{Tang2016GAPITV2,
  title={GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction},
  author={Y. Tang and X. Liu and Jiabo Wang and M. Li and Q. Wang and Feng Tian and Z. Su and Yuchun Pan and Di Liu and A. Lipka and E. Buckler and Zhiwu Zhang},
  journal={The Plant Genome},
  year={2016},
  volume={9}
}
  • Y. Tang, X. Liu, +9 authors Zhiwu Zhang
  • Published 2016
  • Biology, Medicine
  • The Plant Genome
  • Most human diseases and agriculturally important traits are complex. [...] Key Result These methods include factored spectrally transformed linear mixed models (FaST-LMM), enriched CMLM (ECMLM), FaST-LMM-Select, and settlement of mixed linear models under progressively exclusive relationship (SUPER). The genomic prediction methods implemented in this new release of the GAPIT include gBLUP based on CMLM, ECMLM, and SUPER.Expand Abstract
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