BC Kwon
@bckwon.bsky.social
Human-Centered AI, Data Visualization, AI, Biomedicine, HCI
Reposted by BC Kwon
So here are the results of 2 years of hard work:
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects
It's a simple concept: encode DNA variants in your pre-training and get better fine-tunning results.
Paper: www.arxiv.org/abs/2507.05265
Code: github.com/BiomedSciAI/...
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects
It's a simple concept: encode DNA variants in your pre-training and get better fine-tunning results.
Paper: www.arxiv.org/abs/2507.05265
Code: github.com/BiomedSciAI/...
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects
Large language models (LLMs) trained on text demonstrated remarkable results on natural language processing (NLP) tasks. These models have been adapted to decipher the language of DNA, where sequences...
www.arxiv.org
July 22, 2025 at 11:24 PM
So here are the results of 2 years of hard work:
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects
It's a simple concept: encode DNA variants in your pre-training and get better fine-tunning results.
Paper: www.arxiv.org/abs/2507.05265
Code: github.com/BiomedSciAI/...
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects
It's a simple concept: encode DNA variants in your pre-training and get better fine-tunning results.
Paper: www.arxiv.org/abs/2507.05265
Code: github.com/BiomedSciAI/...
Reposted by BC Kwon
VAEs for molecular generation m: a novel take: arxiv.org/pdf/2511.02769
arxiv.org
November 6, 2025 at 4:28 PM
VAEs for molecular generation m: a novel take: arxiv.org/pdf/2511.02769