906 citations · 922 across the 2 of their papers we have counts for
2 papers
q-bio.MN2018★ 16 cited
Embodying probabilistic inference in biochemical circuits
Yarden Katz, Michael Springer, Walter Fontana
Probabilistic inference provides a language for describing how organisms may learn from and adapt to their environment. The computations needed to implement probabilistic inference…
q-bio.BM2015★ 906 cited
Quantification of the effect of mutations using a global probability model of natural sequence variation
Thomas A. Hopf, John B. Ingraham, Frank J. Poelwijk +3
Modern biomedicine is challenged to predict the effects of genetic variation. Systematic functional assays of point mutants of proteins have provided valuable empirical information…