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Briefings in Bioinformatics 封面图

Briefings in Bioinformatics

IF7.7
论文数5687
被引数27362
期刊论文 5687
发表时间
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Advances in computational biology approaches for digital modeling of tumor microenvironment肿瘤微环境数字化建模的计算生物学方法进展
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IF7.7
delete2026-10-28
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deleteWenlong Ming; Huimin Lu; Tianhao Zeng; Kun Luo; Jun Xu; Hongde Liu
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A single-cell transcriptomic method for the deconvolution of multi-donor blood mixtures一种用于解卷积多供者血液混合物的单细胞转录组学方法
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IF7.7
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deleteJiayan Li; Liangze Li; Yiwei Guo; Jiaxin Ji; Huan Yu; Haiqiang Xue; Wenrui Tian; Zidong Liu; Gengqian Zhang; null
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TRACER: response-protected cross-domain alignment of cancer pharmacogenomic models with patient tumorsTRACER：保护响应的跨域癌症药物基因组模型与患者肿瘤对齐
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IF7.7
delete2026-10-28
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deleteZhenxing Wang; Qihe Wang; Guangchao Wang; Guohua Wang; Yuming Zhao
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Systematic evaluation of robustness of deconvolution methods for spatial transcriptomics data in case of cell type mismatch空间转录组学数据去卷积方法鲁棒性的系统性评估：细胞类型错配情况
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IF7.7
delete2026-10-28
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deleteUtkarsh M Mahamune; Aldo Jongejan; Antoine H C van Kampen; Lisa G M van Baarsen; Perry D Moerland
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Supervised and covariate-adjusted dimension reduction for prediction and visualization using microbiome data监督和协变量调整的降维方法：基于微生物组数据用于预测和可视化
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IF7.7
delete2026-10-27
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deleteCrystal Zang; Lu Tang; Rebecca A Deek
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TransSurv: compatibility-aware transfer learning for target-cohort survival predictionTransSurv：面向目标队列生存预测的兼容性感知迁移学习
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IF7.7
delete2026-10-27
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deleteZheng Qu; Hongzhe Zhang; Katherine L Nathanson; Yi Fang; Hongzhe Li; Jing Wang
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Data processing in proteomics and metabolomics: liquid chromatography–mass spectrometry-based omics with divergent computational paradigms蛋白质组学和代谢组学中的数据处理：基于液相色谱-质谱的组学及其不同的计算范式
deleteBriefings in Bioinformatics
IF7.7
delete2026-10-26
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deleteAmy Zheng; Bin Liao; Liang Zhang; Tao Huan; null
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scMAC: large language model-enhanced single-cell functional priors for completing functional context in bulk T cell receptor repertoiresscMAC：大型语言模型增强的单细胞功能先验用于补充体细胞T细胞受体库中的功能背景
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IF7.7
delete2026-10-26
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deleteXinyang Qian; Jiayin Wang
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scDRP: disentangled representation learning for predicting single-cell responses to perturbations and estimating individual treatment effectsscDRP：用于预测单细胞对扰动的响应并估计个体治疗效应的解耦表示学习
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IF7.7
delete2026-10-26
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deleteJianle Sun; Petar Stojanov; Kun Zhang
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EpiInsula: calibrated regression of the Hi-C insulation score from cell-type-specific epigenomic signalEpiInsula：基于细胞类型特异性表观基因组信号校准Hi-C绝缘分数的回归方法
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IF7.7
delete2026-10-26
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deleteYuyu Jin; Tong Chen; Jie Gao; Mengyao Tong; Guangcheng Xu; Xueyu Zhang; Weixu Liu; Yin Shen; null
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EquiDesign: a versatile computational framework for de novo protein sequence designEquiDesign：一种用于从头蛋白质序列设计的通用计算框架
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IF7.7
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deleteQiang Gao; Zhongyu Xu; Kai Chen; Xiaochen Cen; Ke Yan; Jinxin Liu; Zhiwei Ji; null
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Integrating multi-omics data through deep learning with applications to autism risk gene prioritization通过深度学习整合多组学数据及其在自闭症风险基因优先排序中的应用
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IF7.7
delete2026-10-26
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deleteShengtong Han; Di Wang; Wenhui Sheng; Nathanael Chu
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A genetic algorithm for detecting higher-order gene-by-environment interactions using case-parent triads利用家系三代病例对照研究检测高阶基因-环境交互作用的遗传算法
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IF7.7
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deleteMichael Nodzenski; Min Shi; David M Umbach; Clarice R Weinberg
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Biologically informative not available deconvolution excavates hidden features in proteomics datasets生物信息学中未提供解卷积方法揭示蛋白质组学数据集中的隐藏特征
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IF7.7
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deleteWeiheng Guo; Wenyi Jin; Jieyi Zheng; Jian Zhang; Xikang Feng; Lingxi Chen; Liang Zhang; null
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Robust and comprehensive meta-path modeling with multi-graph learning for miRNA–disease association prediction基于多图学习的鲁棒且全面的元路径建模用于miRNA-疾病关联预测
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IF7.7
delete2026-10-26
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deleteZhi Li; Liqun Yang; Wei Qin; Jiahui Liang; Qiao Zhao
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An advanced LLM-powered article extraction pipeline delivers a database of buffers for protein studies and protein expression conditions先进的大语言模型驱动文章提取流程为蛋白质研究提供了缓冲液数据库和蛋白质表达条件
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IF7.7
delete2026-10-21
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deleteZhuojian Chen; Eng Aloysius; J Sivaraman
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Can autonomous Agentic-AI systems accelerate drug discovery and development in the next decade?自主智能体AI系统能否加速未来十年的药物发现与开发？
deleteBriefings in Bioinformatics
IF7.7
delete2026-10-21
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deleteNavaneet Chaturvedi; Shafiul Haque; Vijay Kumar
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WDGTA: a wavelet-denoised graph attention framework for spatial transcriptomics deconvolutionWDGTA：一种用于空间转录组学解卷积的小波去噪图注意力框架
deleteBriefings in Bioinformatics
IF7.7
delete2026-10-19
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deleteHao Zhu; Chenggong Ma; Zhenchun Ran; Xumeng Liu; Haobo Tang; Tongquan Wu; Xinglong Wu; Yicheng Xie
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Artificial intelligence in spatial transcriptomics: a review of methods, datasets, and directions人工智能在空间转录组学中的应用：方法、数据集和方向的综述
deleteBriefings in Bioinformatics
IF7.7
delete2026-10-18
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deleteNeelam Sharma; Rabia Şen; Cemal Erdem
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Assessing the impact of parental linear gene normalization on the performance of statistical models for circular RNA differential expression analysis评估亲本线性基因归一化对环形RNA差异表达分析统计模型性能的影响
deleteBriefings in Bioinformatics
IF7.7
delete2026-10-15
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deleteErda Qorri; Valentin Varga; Katalin Priskin; Dóra Latinovics; Bertalan Takács; Emese Pekker; Gábor Jaksa; Bernadett Csányi; László Torday; Ali Bassam; Zsuzsanna Kahán; Lajos Pintér; Lajos Haracska; null
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