Meelis Kull,Jaak Vilo
Meelis Kull
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that all pairwise distances between data objec...
Mining tissue specificity, gene connectivity and disease association to reveal a set of genes that modify the action of disease causing genes [0.03%]
挖掘组织特异性、基因关联和疾病关联以揭示一组修饰疾病致病基因的基因
Antonio Reverter,Aaron Ingham,Brian P Dalrymple
Antonio Reverter
Background: The tissue specificity of gene expression has been linked to a number of significant outcomes including level of expression, and differential rates of polymorphism, evolution and disease association. Recent st...
Search extension transforms Wiki into a relational system: a case for flavonoid metabolite database [0.03%]
搜索扩展将Wiki转化为一个关联系统：以黄酮类代谢物数据库为例
Masanori Arita,Kazuhiro Suwa
Masanori Arita
Background: In computer science, database systems are based on the relational model founded by Edgar Codd in 1970. On the other hand, in the area of biology the word 'database' often refers to loosely formatted, very larg...
Rubén Armañanzas,Iñaki Inza,Roberto Santana et al.
Rubén Armañanzas et al.
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most well-known and repr...
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping [0.03%]
可解释无监督树集成的特征图：中心性，交互作用和疾病分型中的应用
Explainable and interpretable machine learning has emerged as essential in leveraging artificial intelligence within high-stakes domains such as healthcare to ensure transparency and trustworthiness. Feature importance analysis plays a cruc...