m6A_data

This dataset is associated with the research article "Interpretable Deep Cross Networks Unveiled Common Signatures of Dysregulated Epitranscriptomes Across 12 Cancer Types" by Rong.X et al. The data represents processed outputs from the study's pan-cancer and cancer type-specific models developed using m6A-MeRIP-seq datasets from 12 distinct cancer types. The dataset supports the reproducibility of results and enables further research into shared epitranscriptomic signatures in cancer.

本数据集关联于Rong.X等人发表的研究论文《可解释深度交叉网络揭示12种癌症类型失调表观转录组（epitranscriptome）的共同特征》。该数据为本研究依托12种不同癌症类型的m6A甲基化RNA免疫沉淀测序（m6A-MeRIP-seq）数据集构建的泛癌模型与癌型特异性模型的处理后输出结果。本数据集可保障研究结果的可复现性，并可为癌症中共有的表观转录组特征的后续研究提供支撑。