人参皂苷调节髋关节置换术后纤溶平衡的网络药理学与代谢组学分析
Network pharmacology and metabolomics analysis of ginsenosides in fibrinolysis balance after hip arthroplasty
在细胞模型中,人参皂苷Rh7上调t-PA并下调PAI-1,提示其可能影响髋关节置换术后纤溶平衡。
从数据分析和研究设计的角度读新论文:数据从哪来、流程怎么走、用了什么工具、哪里值得学。
Network pharmacology and metabolomics analysis of ginsenosides in fibrinolysis balance after hip arthroplasty
在细胞模型中,人参皂苷Rh7上调t-PA并下调PAI-1,提示其可能影响髋关节置换术后纤溶平衡。
AmpliconSuite: an end-to-end workflow for analyzing focal amplifications in cancer genomes
提出 AmpliconSuite,从癌症全基因组测序中识别 ecDNA 等局灶性扩增模式。
The MODNAP benchmark set for modeling ribose-based modified nucleic acid and nucleic acid-protein complexes: a case study with AlphaFold 3.
构建 MODNAP 基准集,评估修饰核酸结构预测,并揭示 AlphaFold 3 的局部定位与几何有效性问题。
Auxiliary modalities add no detectable discrimination or calibration over structured EHR for 30-day COPD readmission: evidence from a leakage-audited MIMIC-IV cohort
经时间泄漏校正与再校准,多模态融合预测 COPD 30 天再入院未优于单独结构化 EHR。
A phenome-wide structural variant map from 467,152 UK Biobank genomes.
在467,152名参与者中,结构变异与多种健康表型及血浆蛋白水平相关。
Choice of phenotype scale is critical in biobank-based G × E tests.
UK Biobank 分析显示,表型尺度选择可解释部分遗传评分与性别的交互作用。
RiboBA: a bias-aware probabilistic framework for robust ORF identification across diverse ribosome profiling protocols.
提出RiboBA,通过建模实验方案偏倚,改善周期性减弱的核糖体测序数据中的非经典ORF识别。
Attribute Network-based Ranking (ANeR) identifies conserved translational fingerprints of M-phase.
提出ANeR,整合异质双条件组学数据排序候选转录本,识别细胞分裂的保守翻译程序及调控因子。
Characterisation of Genetically-Derived Patient Clusters Highlights Genetic Heterogeneity of Inflammatory Bowel Disease
3个IBD队列中,NOD信号通路基因聚类与疾病亚型、克罗恩病行为及手术史相关,主要关联来自NOD2。
Understanding when and how knowledge graphs add value to EHR-based clinical prediction across Parkinson’s disease, multiple sclerosis, and chronic pain
比较知识图谱整合策略,发现队列子图可节省计算成本,但预测收益取决于疾病。
Single-cell analyses of global cohorts outline determinants of immune aging and link the ratio of GZMK+ to GZMB+ Tem cells to health trajectories.
GZMK+/GZMB+效应记忆T细胞比值与健康及病理相关衰老轨迹相关。
Pocket contrastive learning and conformation fusion for robust structure-conditioned 3D molecular generation under receptor conformational variation.
提出结合口袋对比学习与参考构象特征融合的3D分子生成框架,提高受体构象变化下的稳健性。