Towards precision oncology: unsupervised manifold learning for spatial molecular profiling in cancer tissues [0.03%]
面向精确诊疗：癌症组织空间分子分型的无监督流形学习方法
Guoqing Jiang,Jingming He,Xuemeng Fan et al.
Guoqing Jiang et al.
Precision oncology relies on the accurate characterization of spatial molecular distributions in cancer tissues to uncover critical biomarkers and guide clinical decision-making. However, the high dimensionality and complexity of mass spect...
On the genetic origins of phenotypes in genome-wide association studies: the SAFE-h2 tool for exploring additive and non-additive allelic effects [0.03%]
全基因组关联研究中表型的遗传起源探析：用于探究加性和非加性等位基因效应的SAFE-H2工具
Behrooz Darbani,Mogens Nicolaisen
Behrooz Darbani
Background: This study highlights biologically meaningless negative contributions to heritability estimates and introduces SAFE-h2 method and application tool for accurate genetic estimates in genome-wide association stud...
Investigate synergistic and competitive regulation between miRNAs by using a multivariate information measurement [0.03%]
利用多元信息测量法探究miRNA之间的协同和竞争调控作用
Chu Pan,Yanlin Chen,Tianwu Zhang
Chu Pan
Multiple microRNAs can bind to the 3' untranslated region (3'UTR) of the same mRNA transcript. Depending on the spatial arrangement of their binding sites, endogenous microRNAs may cooperate to enhance repression or compete for overlapping ...
CMV-GLA: contrastive multi-view graph layer attention for predicting phosphorylation site-disease associations [0.03%]
基于对比多视图图层注意力的磷酸化位点疾病关联预测方法(CMV-GLA)
Jinru Li,Sisi Ou,Shi Qiu et al.
Jinru Li et al.
Protein phosphorylation is a critical posttranslational modification involved in cell signaling and metabolic regulation, and phosphorylation dysregulation is closely associated with various diseases. However, studies on phosphorylation sit...
M2Viz: a tool for visualizing genetic or proteomic modifications and variants [0.03%]
M2Viz：一个用于遗传或蛋白质修饰和变异可视化的工具
Ahmad Rafi,Alimath Sambreena,Mahammad Nisar et al.
Ahmad Rafi et al.
Background: Visualization of mutations and modifications on nucleotide and protein sequences provides insights into sequence hotspots conveying biologically relevant findings derived through genomics/proteomics platforms....
SurvMarker: an R package for identifying survival-associated molecular features using PCA-based weighted scores [0.03%]
SurvMarker：一个使用PCA权重评分鉴定生存相关分子特征的R包
Dona Hasini Gammune,Tongjun Gu
Dona Hasini Gammune
Background: Identification of prognostic molecular features from high-dimensional molecular data is central to biomarker discovery in cancer and other complex diseases. Principal component analysis (PCA) is widely used fo...
Ronald Domi,Falko Noé,Peter Leary et al.
Ronald Domi et al.
Background: The Gene Expression Omnibus (GEO) (Clough and Barrett in: methods in molecular biology, Clifton, 2016) repository requires complex multistep submissions involving metadata preparation, FTP uploads, and MD5 val...
ShadowVIMP: permutation-based multiple testing-controlled variable selection [0.03%]
基于置换的多重检验变量选择控制算法：ShadowVIMP算法
Tim Müller,Roman Hornung,Silke Szymczak et al.
Tim Müller et al.
Background: Identifying relevant biomarkers is critical in clinical research and precision medicine, particularly when analysing high-dimensional data. Random forests (RFs) are promising for such settings due to their fle...
Multi-granularity transformer contrastive learning and feature reconstruction for prediction of disease-related miRNAs [0.03%]
多粒度变换器对比学习和特征重建的疾病相关miRNA预测方法
Ping Xuan,Zhicheng Guo,Siyuan Lu et al.
Ping Xuan et al.
Haoran Liu,Xiaoli Lin,Jing Hu et al.
Haoran Liu et al.
Background: Targeted drugs are medications designed to treat diseases by targeting specific sites on cancerous or diseased cells. Multi-target drugs can target multiple protein sites to treat diseases, improving therapeut...