Eleonora Mian,Enrico Petrucci,Cinzia Pizzi et al.
Eleonora Mian et al.
Alignment-free analysis of sequences has revolutionized the high-throughput processing of sequencing data within numerous bioinformatics pipelines. Hashing k-mers represents a common function across various alignment-free applications, serv...
Partition Based Algorithms for Rearrangement Distances with Flexible Intergenic Regions [0.03%]
基于分区的算法用于可变间隔区的排列距离问题
Gabriel Siqueira,Alexsandro Oliveira Alexandrino,Andre Rodrigues Oliveira et al.
Gabriel Siqueira et al.
Genome Rearrangement distance problems are used in Computational Biology to estimate the evolutionary distance between genomes. These problems consist of minimizing the number of rearrangement events necessary to transform one genome into a...
Improving Antifreeze Proteins Prediction with Protein Language Models and Hybrid Feature Extraction Networks [0.03%]
利用蛋白质语言模型和混合特征提取网络改进抗冻蛋白预测能力
Jiashun Wu,Yan Liu,Yiheng Zhu et al.
Jiashun Wu et al.
Accurate identification of antifreeze proteins (AFPs) is crucial in developing biomimetic synthetic anti-icing materials and low-temperature organ preservation materials. Although numerous machine learning-based methods have been proposed f...
Zhipeng Hu,Gaoshi Li,Xinlong Luo et al.
Zhipeng Hu et al.
Cancer is a complex genomic mutation disease, and identifying cancer driver genes promotes the development of targeted drugs and personalized therapies. The current computational method takes less consideration of the relationship among fea...
Reinforced Metapath Optimization in Heterogeneous Information Networks for Drug-Target Interaction Prediction [0.03%]
基于异构信息网的药物靶点相互作用预测的增强元路径优化方法
Ben Xu,Jianping Chen,Yunzhe Wang et al.
Ben Xu et al.
Graph neural networks offer an effective avenue for predicting drug-target interactions. In this domain, researchers have found that constructing heterogeneous information networks based on metapaths using diverse biological datasets enhanc...
GenoM7GNet: An Efficient N7-Methylguanosine Site Prediction Approach Based on a Nucleotide Language Model [0.03%]
基于核苷酸语言模型的高效N7-甲基鸟苷位点预测方法GenoM7GNet
Chuang Li,Heshi Wang,Yanhua Wen et al.
Chuang Li et al.
N7 -methylguanosine (m7G), one of the mainstream post-transcriptional RNA modifications, occupies an exceedingly significant place in medical treatments. However, classic approaches for identifying m7G sites are costly both in time and equi...
Fernando H C Dias,Alexandru I Tomescu
Fernando H C Dias
Minimum flow decomposition (MFD) is a common problem across various fields of Computer Science, where a flow is decomposed into a minimum set of weighted paths. However, in Bioinformatics applications, such as RNA transcript or quasi-specie...
A New Graph Autoencoder-Based Multi-level Kernel Subspace Fusion Framework for Single-cell Type Identification [0.03%]
一种新的基于图自编码器的多层次核子空间融合框架用于单细胞类型识别
Juan Wang,Tian-Jing Qiao,Chun-Hou Zheng et al.
Juan Wang et al.
The advent of single-cell RNA sequencing (scRNA-seq) technology offers the opportunity to conduct biological research at the cellular level. Single-cell type identification based on unsupervised clustering is one of the fundamental tasks of...
Lars Berling,Remco Bouckaert,Alex Gavryushkin
Lars Berling
Assessing convergence of Markov chain Monte Carlo (MCMC) based analyses is crucial but challenging, especially so in high dimensional and complex spaces such as the space of phylogenetic trees (treespace). In practice, it is assumed that th...
Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data [0.03%]
使用多编码器半显式图变自动编码器分析单细胞RNA测序数据
Shengwen Tian,Cunmei Ji,Jiancheng Ni et al.
Shengwen Tian et al.
Rapid advances in single-cell RNA sequencing (scRNA-seq) have made it possible to characterize cell states at a high resolution view for large scale library. scRNA-seq data contains a great deal of biological information, which can be mainl...