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论文题名： Targeted design of synthetic enhancers for selected tissues in the Drosophila embryo
期刊与年份： Nature，2024。论文原文。
范围为正文全部编号主图及其子图， ...
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论文题名： DeepC: predicting 3D genome folding using megabase-scale transfer learning
期刊与年份： Nature Methods，2020。论文原文。
阅读版本： Europe PMC 作 ...
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论文题名： Semantic design of functional de novo genes from a genomic language model
期刊与年份： Nature，2026。论文原文。
范围为正文全部编号主图及其子图，包含流程示意图。Ext ...
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论文题名： Sequence modeling and design from molecular to genome scale with Evo
期刊与年份： Science，2024。论文原文。
范围为正文全部编号主图及其子图，包含流程示意图。Extende ...
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论文题名： DNA language models are powerful predictors of genome-wide variant effects
期刊与年份： PNAS，2023。论文原文。
范围为正文全部编号主图及其子图，包含流程示意图。Exte ...
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论文题名： DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
期刊与年份： Bioinform ...
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论文题名： DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning
期刊与年份： Genome Biology，2017。论文原文。
范围为正文全 ...
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论文题名： Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning
期刊与年份： Genome Research，2021。论文原 ...
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论文题名： Cross-species analysis of enhancer logic using deep learning
期刊与年份： Genome Research，2020。论文原文。
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论文题名： Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening
期刊与年份： Nature B ...
