Top Tweets for #NucleotideTransformer
Pretrained CNNs with homologs can beat large language model #DNABERT2 for DNA regulatory sequence prediction. #DeepLearning #GPN #HyenaDNA #NucleotideTransformer #Gena-LM
@anshulkundaje @gagneurlab @Avsecz @fabian_theis @BenoitBallester @Chromozz @wilstc @HazyResearch

Pretrained CNNs can beat LLM #DNABERT2 for DNA sequence prediction. #DeepLearning #GPN #HyenaDNA #NucleotideTransformer
Have a look! @anshulkundaje @gagneurlab @Avsecz @fabian_theis @BenoitBallester @Chromozz @wilstc @HazyResearch @pkoo562 @katieelink
https://t.co/2O5hWImF6A

Mistral model can be used for genomics! It's called Mistral-DNA. #DeepLearning #GPN #HyenaDNA #NucleotideTransformer #Gena-LM
Have a look! @MistralAI
https://t.co/8bmOOZFIiR
@NicoLopezCarran @huggingface Really enjoyed the #NucleotideTransformer paper, and found this somewhat surprising: "The models trained on genomes from different species perform better on many human prediction tasks, even when compared to those trained exclusively on human sequences" π€―
Check out the new version of the #NucleotideTransformer paper and models!
Happy to have made a small contribution to this project π
A new version of the Nucleotide Transformer paper is out! New model interpretation results, new comparisons to SOTA competitors, new benchmarks and four new models. In addition to being 10x smaller and thus faster, our v2 models also have a doubled perception field (12kbp)!

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