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Article

Scalable DNA Feature Generation and Transcription Factor Binding Prediction via Deep Surrogate Models

2024-12-10

Abstract excerpt

Simulating DNA breathing dynamics, for instance Extended Peyrard-Bishop-Dauxois (EPBD) model, across the entire human genome using traditional biophysical methods like pyDNA-EPBD is computationally prohibitive due to intensive techniques such as Markov Chain Monte Carlo (MCMC) and Langevin dynamics. To overcome this limitation, we propose a deep surrogate generative model utilizing a conditional Denoising Diffusio...

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Literature Corpus work
1a11a993-8e46-5d79-b072-8e6c1a63f09f
DOI
10.1101/2024.12.06.626709
Open publication

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Scalable DNA Feature Generation and Transcription Factor Binding Prediction via Deep Surrogate ModelsDOI 10.1101/2024.12.06.626709
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