This repository provides the code necessary to reproduce the experiments presented in the paper Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. The code is organized across the following repositories:
- Chem-xLSTM (current repository)
- DNA-xLSTM
- Prot-xLSTM
Chem-xLSTM codebase is currently under construction and will be released soon.
@article{schmidinger2024bio-xlstm,
title={{Bio-xLSTM}: Generative modeling, representation and in-context learning of biological and chemical sequences},
author={Niklas Schmidinger and Lisa Schneckenreiter and Philipp Seidl and Johannes Schimunek and Pieter-Jan Hoedt and Johannes Brandstetter and Andreas Mayr and Sohvi Luukkonen and Sepp Hochreiter and Günter Klambauer},
journal={arXiv},
doi = {},
year={2024},
url={}
}