91 citations · 235 across the 13 of their papers we have counts for
3 papers · 1 filter
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…
Inferring unknown biological function by integration of GO annotations and gene expression data
Guillermo Leale, Ariel Bayá, Diego Milone +2
Characterizing genes with semantic information is an important process regarding the description of gene products. In spite that complete genomes of many organisms have been alread…
Blankets Joint Posterior score for learning Markov network structures
Federico Schlüter, Yanela Strappa, Diego H. Milone +1
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in a wide range of fields. By learning the structure of independences of a do…