Genome annotation currently requires performing dozens of molecular assays in hundreds of cell and tissue samples, an expensive endeavor which is impractical to replicate across all species and conditions of interest. Here, we introduce BioSeq2Seq, a deep learning framework that infers cell-line-specific molecular assays widely used for genome annotation by leveraging a tri-modal input: evolutiona...去小宇宙查看完整单集简介
前往小宇宙评论区与主播互动
前往小宇宙评论区与主播互动
Fler avsnitt av Paper Talk
Visa alla avsnitt av Paper TalkPaper Talk med 淼淼Elva finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.
