Predicting phenotype transition probabilities via conditional algorithmic probability approximations
<p>Unravelling the structure of genotype–phenotype (GP) maps is an important problem in biology. Recently, arguments inspired by algorithmic information theory (AIT) and Kolmogorov complexity have been invoked to uncover simplicity bias in GP maps, an exponentially decaying upper bound in phen...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
The Royal Society
2022
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