DeepLIFTs
DeepLIFTs is a deep learning framework designed for predicting the impact of genetic variants on gene expression. It leverages advances in deep neural networks to interpret regulatory elements and their functional consequences. The model learns representations of DNA sequences and predicts how specific mutations might alter the binding of transcription factors, which in turn affects gene transcription levels.
The framework is trained on large datasets of DNA sequences paired with gene expression measurements. By analyzing
DeepLIFTs offers a computational approach to functional genomics, moving beyond simple sequence-based predictions. It aims to