NeuroMDAVIS: Visualization of Single-Cell Multi-Omics Data under Deep Learning Framework [0.03%]
基于深度学习的单细胞多组学数据可视化方法 NeuroMDAVIS
Chayan Maitra,Dibyendu B Seal,Vivek Das et al.
Chayan Maitra et al.
Single-cell technologies have favored extensive advancements in cell-type discovery, cell state identification, development of lineage tracing, and disease understanding among others. Further, single-cell multi-omics data generated using mo...
Uncovering Epistatic Interactions in SARS-CoV-2 Evolution Through Hidden Markov Models [0.03%]
通过隐马尔可夫模型揭示SARS-CoV-2进化中的上位基因相互作用
Ayotomiwa Ezekiel Adeniyi,Akshay Juyal,Pavel Skums et al.
Ayotomiwa Ezekiel Adeniyi et al.
Understanding epistatic interactions, where mutations collectively influence viral fitness, is critical for predicting pathogen evolution. We present a hidden Markov model (HMM) framework that captures the temporal dynamics of epistatic rel...
A REsampling and Visual EvALuation Method to Detect and Map Local Model Violations During Biomolecular Sequence Analysis [0.03%]
基于重采样和视觉评判的检测生物分子序列分析过程中局部模型违反的方法及分布地图
Meijun Gao,Kevin J Liu
Meijun Gao
A fundamental assumption in phylogenetics and phylogenomics is that a single, global evolutionary model can adequately characterize the substitution processes operating across all sites in a molecular sequence alignment. However, this assum...
Special Issue: RECOMB Satellite Conference on Comparative Genomics (RECOMB-CG 2025) [0.03%]
《RECOMB比较基因组学卫星会议（RECOMB-CG 2025）特刊》
Giltae Song
Giltae Song
Exact and Asymptotic Counts of Binary Phylogenetic Networks with a Few Reticulation Events [0.03%]
具有少量混合事件的二元谱系网络的确切和渐近计数
Hao Yu,Michael Fuchs,Guan-Ru Yu et al.
Hao Yu et al.
Phylogenetic networks are powerful models for representing evolutionary history in studies of genome evolution involving reticulation events. The complex structure of phylogenetic networks makes their inference challenging, especially for l...
Probability-Based Sequence Comparison Finds Pre-Eutherian Nuclear Mitochondrial DNA Segments in Mammalian Genomes [0.03%]
基于概率的序列比较在哺乳动物基因组中发现了胎盘哺乳动物出现前的线粒体DNA片段
Muyao Huang,Martin C Frith
Muyao Huang
The insertion of mitochondrial genome-derived DNA sequences into the nuclear genome is a frequent event in organismal evolution, resulting in nuclear-mitochondrial DNA segments (NUMTs), which serve as a significant driving force for genome ...
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment [0.03%]
一种改进的心脏药物安全性评估方法：基于超网络增强的系统生物学信息神经网络模型
Inass Soukarieh,Gerhard Hessler,Hervé Minoux et al.
Inass Soukarieh et al.
Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of pharmaceutical substances on cardiac health. However, the complexity of these models limits their widespread application in early drug disco...
MCMC-CE: A Novel and Efficient Algorithm for Estimating Small Right-Tail Probabilities of Quadratic Forms with Applications in Genomics [0.03%]
一种新颖高效的估计二次型小右尾概率的算法及其在基因组学中的应用
Vy Q Ong,Bich N Choi,Devin P Lundy et al.
Vy Q Ong et al.
Quadratic forms of multivariate normal variables play a critical role in statistical applications, particularly in genomics and bioinformatics. However, accurately computing small right-tail probabilities (p-values) for large-scale quadrati...
Theory, Algorithms, and Applications for Identification of Undesignable RNA Secondary Structures and Motifs [0.03%]
用于识别不可设计的RNA二级结构和基元的理论、算法与应用
Tianshuo Zhou,Apoorv Malik,Wei Yu Tang et al.
Tianshuo Zhou et al.
RNA design aims to find a sequence that folds into a designated target structure under a specific RNA folding model, also known as the inverse problem of RNA folding. While numerous RNA design methods have been invented to search for sequen...
Mona Singh
Mona Singh