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论文题名： The evolution, evolvability and engineering of gene regulatory DNA
期刊与年份： Nature，2022。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。Extended D ...
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论文题名： Cell-type-directed design of synthetic enhancers
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，包含流程示意图。Extended Data 和 Supplementar ...
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论文题名： CREsted: modeling genomic and synthetic cell-type-specific enhancers across tissues and species
期刊与年份： Nature Methods，2026。论文原 ...
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论文题名： scooby: modeling multimodal genomic profiles from DNA sequence at single-cell resolution
期刊与年份： Nature Methods，2025。论文原文。
范围为正 ...
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论文题名： scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks
期刊与年份： Nature Methods，2022。论文原文。 ...
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论文题名： Sequence-based modeling of three-dimensional genome architecture from kilobase to chromosome scale
期刊与年份： Nature Genetics，2022 ...
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论文题名： Predicting 3D genome folding from DNA sequence with Akita
期刊与年份： Nature Methods，2020。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。Extended Da ...
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论文题名： A sequence-based global map of regulatory activity for deciphering human genetics
期刊与年份： Nature Genetics，2022。论文原文。
范围为正文全部编号主 ...
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论文题名： DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers
期刊与年份： Nature Gen ...
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论文题名： Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
期刊与年份： Nature Biotechnology，2015。论文原文。 ...
