1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
Comprehensive benchmarking of large language models for RNA secondary structure prediction
L. I. Zablocki, L. A. Bugnon, M. Gerard +3
Inspired by the success of large language models (LLM) for DNA and proteins, several LLM for RNA have been developed recently. RNA-LLM uses large datasets of RNA sequences to learn…
q-bio.QM2024
evolSOM: an R Package for evolutionary conservation analysis with SOMs
Santiago Prochetto, Renata Reinheimer, Georgina Stegmayer
Motivation: Unraveling the connection between genes and traits is crucial for solving many biological puzzles. Genes provide instructions for building cellular machinery, directing…