Design of a configurable SoC for Alzheimer's disease detection based on multimodal signals [0.03%]
一种基于多模态信号的用于阿尔茨海默病检测的可配置片上系统设计
Yannan Yuan,Liufang Sheng,Zhikang Chen et al.
Yannan Yuan et al.
Bovine EpiMap explorer: an interactive web application for genome-wide DNA methylation analysis in dairy cattle [0.03%]
奶牛表观遗传基因组图谱浏览器：奶牛全基因组DNA甲基化分析的交互式网络应用程序
Lotfi Bouzeraa,Marc-Andre Sirard
Lotfi Bouzeraa
Samia Sultana,Hongmei Zhang,Yu Jiang et al.
Samia Sultana et al.
A nonparametric statistical method for deconvolving densities in the analysis of proteomic data [0.03%]
蛋白质组学数据分析中用于解卷积密度的非参数统计方法
Akin Anarat,Jean Krutmann,Holger Schwender
Akin Anarat
Uncertainty-aware hybrid deep generative framework for robust and explainable drug discovery [0.03%]
一种用于稳健和可解释药物发现的不确定性感知混合深度生成框架
Saniya Gupta,A Sherly Alphonse,D Kavitha
Saniya Gupta
Conventional techniques in drug discovery are time-consuming and less accurate due to the vast chemical space and associated uncertainty. Artificial intelligence and machine learning have introduced new methods to improve the drug discovery...
ACVI-Med, an open source variant interpretation tool for medical genomics [0.03%]
ACVI-Med：一种用于医学基因组学的开源变异解读工具
Moritz Stadler,Sabina Gansberger,Liliane Borik-Heil et al.
Moritz Stadler et al.
DNA sequence contamination analyzer (DNASCAN): a supervised analysis toolkit for detecting and removing DNA contaminants [0.03%]
基于监督分析的脱氧核糖核酸（DNA）序列污染检测及去除工具包(DNASCAN)
John Stephen Malamon
John Stephen Malamon
DNA N-gram analysis methodologies have been successfully deployed to provide a wide range of elegant solutions to a variety of complex problems in bioinformatics, such as sequence alignment, DNA barcoding, the identification of functional g...
Multimodal learning on heterogeneous subgraphs and LLMs representation for MHC-peptide binding affinity prediction [0.03%]
基于异构子图和大规模语言模型表示的多模态学习的MHC-肽结合亲和力预测
Ruimeng Li,Ying Wang,Haozhou Li et al.
Ruimeng Li et al.
Accurate prediction of MHC-peptide binding affinity remains a challenge for immunotherapeutic development. Existing methods struggle to jointly model functional semantics of polymorphic residues, evolutionary conservation constraints, and s...
DynaBiome: interpretable unsupervised learning of gut microbiome dysbiosis via temporal deep models [0.03%]
具有一览无余的临时深层模型的人类微生物组紊乱的未监督学习Dynabime解释框架
Awais Qureshi,Abdul Wahid,Shams Qazi et al.
Awais Qureshi et al.