Danyeong Lee
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View article: A community effort to optimize sequence-based deep learning models of gene regulation
A community effort to optimize sequence-based deep learning models of gene regulation Open
A systematic evaluation of how model architectures and training strategies impact genomics model performance is needed. To address this gap, we held a DREAM Challenge where competitors trained models on a dataset of millions of random prom…
View article: DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization Open
The generation of energetically optimal 3D molecular conformers is crucial in cheminformatics and drug discovery. While deep generative models have been utilized for direct generation in Euclidean space, this approach encounters challenges…
View article: Evaluation and optimization of sequence-based gene regulatory deep learning models
Evaluation and optimization of sequence-based gene regulatory deep learning models Open
Neural networks have emerged as immensely powerful tools in predicting functional genomic regions, notably evidenced by recent successes in deciphering gene regulatory logic. However, a systematic evaluation of how model architectures and …