Ruzhang Zhao,Shaojun Pei,Stephen Shing-Toung Yau
Ruzhang Zhao
It remains challenging how to find existing but undiscovered genome sequence mutations or predict potential genome sequence mutations based on real sequence data. Motivated by this, we develop approaches to detect new, undiscovered genome s...
Hugo Lopez-Fernandez,Pedro Duque,Noe Vazquez et al.
Hugo Lopez-Fernandez et al.
SEDA (SEquence DAtaset builder) is a multiplatform desktop application for the manipulation of FASTA files containing DNA or protein sequences. The convenient graphical user interface gives access to a collection of simple (filtering, sorti...
Circadian Rhythm Regulated by Tumor Suppressor p53 and Time Delay in Unstressed Cells [0.03%]
肿瘤抑制因子p53和未受胁迫细胞中由时间延迟调控的昼夜节律
Conghua Wang,Haihong Liu,Zhonghua Miao et al.
Conghua Wang et al.
Circadian function and p53 network are interconnected on the molecular level, but the dynamics induced by the interaction between the circadian factor Per2 and the tumor suppressor p53 remains poorly understood. Here, we constructed an inte...
Predicting Human Intention-Behavior Through EEG Signal Analysis Using Multi-Scale CNN [0.03%]
基于多尺度CNN的EEG信号分析及人类意向行为预测方法研究
Chenxi Huang,Yutian Xiao,Gaowei Xu
Chenxi Huang
At present, the application of Electroencephalogram (EEG) signal classification to human intention-behavior prediction has become a hot topic in the brain computer interface (BCI) research field. In recent studies, the introduction of convo...
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data [0.03%]
基于综合网络的多组学癌症亚型分析的新颖集成聚类方法(aWCluster)
Maryam Pouryahya,Jung Hun Oh,Pedram Javanmard et al.
Maryam Pouryahya et al.
The remarkable growth of multi-platform genomic profiles has led to the challenge of multiomics data integration. In this study, we present a novel network-based multiomics clustering founded on the Wasserstein distance from optimal mass tr...
Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations [0.03%]
基于顺序随机模拟的早期拒绝法在贝叶斯推断中的应用研究
Hu Zhang,Jingsong Chen,Tianhai Tian
Hu Zhang
Stochastic modelling is an important method to investigate the functions of noise in a wide range of biological systems. However, the parameter inference for stochastic models is still a challenging problem partially due to the large comput...
Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification [0.03%]
基于转换层的单元级残差神经网络皮肤癌分类技术研究
Imran Razzak,Saeeda Naz
Imran Razzak
Many modern neural network architectures with over parameterized regime have been used for identification of skin cancer. Recent work showed that network, where the hidden units are polynomially smaller in size, showed better performance th...
Hierarchical Structured Component Analysis for Microbiome Data Using Taxonomy Assignments [0.03%]
基于分类赋值的微生物组数据层次结构化组件分析方法
Sun Ah Kim,Nayeon Kang,Taesung Park
Sun Ah Kim
The recent advent of high-throughput sequencing technology has enabled us to study the associations between human microbiome and diseases. The DNA sequences of microbiome samples are clustered as operational taxonomic units (OTUs) according...
SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism [0.03%]
基于自我注意机制的牛津纳米孔测序数据神经网络解码器Sacall
Neng Huang,Fan Nie,Peng Ni et al.
Neng Huang et al.
Highly portable Oxford Nanopore sequencer producing long reads in real-time at low cost has made many breakthroughs in genomics studies. However, a major limitation of nanopore sequencing is its high errors when deciphering DNA sequences fr...
A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks [0.03%]
一种基于链标签传播的识别蛋白质相互作用网络中功能模块的鲁棒算法
Hao Jiang,Fei Zhan,Congtao Wang et al.
Hao Jiang et al.
Identifying functional modules in protein-protein interaction (PPI) networks elucidates cellular organization and mechanism. Various methods have been proposed to identify the functional modules in PPI networks, but most of these methods do...