Hacker News new | past | comments | ask | show | jobs | submit login

Using coding examples like conditional compilation is not right abstraction for programmers to understand how genes compute.

GRN is.

https://en.wikipedia.org/wiki/Gene_regulatory_network

https://en.wikipedia.org/wiki/Gene_regulatory_network#Modell...

GRN can be modeled using different levels of abstraction and accuracy as boolean network , recurrent neural network or as stochastic gene networks.

In other words, they are capable of complex computations, but computational model looks more like neural network or stochastic network.




Well, speaking as someone who has no idea what the computational model of a neural nor stochastic network is, I strongly disagree with you.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: