Submitted by st4s1k t3_zmx5y2 in MachineLearning
[removed]
Submitted by st4s1k t3_zmx5y2 in MachineLearning
[removed]
:)
There's a difference between the raw DNA code and how the genes are actually expressed. I recall reading about a wealthy woman who cloned her cat so she could raise it again and the cloned cat had totally different color pattern and personality but identical DNA.
Epigenetics is an interesting field
If DNA was code, gene expression is akin to how many times you call those functions
Hormone levels during development in utero
Technical questions aside, even if it was possible, I think it's ethically very questionable.
I'm just curious if it's possible to predict someone's precise face using DNA
I don’t think precisely but I would assume the result would be enough to make you stop and wonder at the power of machine learning. It would make something that looked like a generic cousin.
>It would make something that looked like a generic cousin.
That sounds incredibly impressive, if they can. If we can train DNA to mugshot-style photo enough to generate it from other DNA samples, I would think it would allow us a much better conception of what ancient peoples whose DNA we have actually looked like. Every time I see some computer-rendered depiction, I wonder how close they'd get with my DNA.
No. And even if you look at "identical" twins — who were developed not only from the same DNA, but also in the same nutritional, hormonal and biochemical environment — they are highly similar, but not "identical".
Yet they are similar enough to be identified as identical twins. That’s what you’d be aiming for here, not perfection.
I'd imagine since the aim to predict (or generate?) a photo of the person, OP is tolerant of much more imperfection than you're thinking.
I wonder if that's more a question for biologists? A very interesting idea.
My first thought as a biologist is you may get a general template with certain traits like eye, hair and skin tone more easily identifiable than bone or muscle density underlying the facial features. I am super interested in this question now that I see it. Based on my hobby use of gpt-3 it seems possible to train it on the genetic data available on ncbi.
A persons immune system is dictated by a system of genes called the HLA or human leukocyte antigen genes. So a persons ability to have tissue transplanted to another person could be predicted by these algorithms with some training I would bet. Maybe a big registry of possible donors and possible recipients could be created but then that brings up the ethical side of things with patient data and the 5 patient problem.
Let's say, this is an issue of degree, rather than a black-and-white issue. For instance, if you have human DNA, rather than elephant or horse DNA, you can assume a human will come out.
If you can get an idea, will it be Asian, Caucasian, African,... — you can get therefrom a general idea, too.
But that is as far as it gets, sort of: humans look vastly different based on minor details. Think of actors in different roles. The closest you could get is a sort of "cohort" of possibilities for the looks.
Behavior, I trust, will be even less reliable.
An AI could "hallucinate" a "solution", sure, the way they "sharpen" images. But that would be A solution, not THE solution.
>An AI could "hallucinate" a "solution", sure, the way they "sharpen" images.
I like the clever use of "hallucinate" there.
If you take humanity as your training set you might be able to overfit that successfully
Assuming the data is there then yes, but youll need headshots of everyone AND there DNA sequence and permission, cuz im sure thatd piss alot of people off
I feel like it should output a range of possible faces bc of factors like dna methylation etc which impact people's appearance as they grow.
more interesting would be to predict interest and "mind", probably that's why Sergey Brin married Anne Wojcicki, probably the results weren't good though cause they split
blablanonymous t1_j0dsd7h wrote
Yeah just use logistic regression