… Here we generate phased whole genomes with matched chromatin accessibility, histone …
a specialized deep learning model, called DeepMEL2, on melanoma chromatin accessibility …

… These models leverage advances in deep learning (32) to … Here we introduce a deep learning
framework for functional i… epigenetic variation in chromatin accessibility from DNase-seq …

… First, we download Basset, a deep learning … to learn the chromatin accessibility code of
different cell lines but also evaluate genetic variants with potential influence on the accessibility. …

… We develop a hybrid deep learning framework for chromatin accessibility prediction based
… , GRU and attention networks to automatically learn the complex hidden features of DNA …

… Eventually, we hope our deep learning method can allow us achieve excellent performance
in DNA sequence analysis and help boost our understanding of chromatin accessibility …

… However, unless extremely deep sequencing is performed on a … deep learning model, to
integrate genome sequences and chromatin accessibility data for the prediction of chromatin …

… chromatin accessibility by incorporating TFs gene expression data and deep learning … We
evaluate whether DeepCAGE can help recover continuous degree of chromatin accessibility …

… Our study highlights the promise of integrative multi-modal deep learning models for learning
predictive models that generalize across cellular contexts and obtaining insight into the …

… achieve interpretable annotations of chromatin accessibility across diverse cellular contexts.
To solve this problem, we propose DeepCAGE, a deep learning framework that integrates …

… deep learning for the cancer molecular profiles analyses are relatively rare. It is mainly because
most deep learning networks are based on supervised learning … use of deep learning for …