Optimized Elastic Network Models With Direct Characterization of Inter-Residue Cooperativity for Protein Dynamics [0.03%]
优化弹性网络模型直接表征蛋白质动力学中的残基间协同作用
Hua Zhang,Guogen Shan,Bailin Yang
Hua Zhang
The elastic network models (ENMs)are known as representative coarse-grained models to capture essential dynamics of proteins. Due to simple designs of the force constants as a decay with spatial distances of residue pairs in many previous s...
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation [0.03%]
通过网络传播推断动态老化相关生物子网
Khalique Newaz,Tijana Milenkovic
Khalique Newaz
Gene expression (GE)data capture valuable condition-specific information ("condition" can mean a biological process, disease stage, age, patient, etc.)However, GE analyses ignore physical interactions between gene products, i.e., proteins. ...
Subin Qian,Huiyi Liu,Xiaofeng Yuan et al.
Subin Qian et al.
Due to the development of high-throughput technologies for gene analysis, the biclustering method has attracted much attention. However, existing methods have problems with high time and space complexity. This paper proposes a biclustering ...
A Novel Method for Constructing Classification Models by Combining Different Biomarker Patterns [0.03%]
结合不同生物标志物模式构建分类模型的新方法
Xin Huang,Zhenqian Liao,Bing Liu et al.
Xin Huang et al.
Different biomarker patterns, such as those of molecular biomarkers and ratio biomarkers, have their own merits in clinical applications. In this study, a novel machine learning method used in biomedical data analysis for constructing class...
Predicting Coding Potential of RNA Sequences by Solving Local Data Imbalance [0.03%]
通过解决局部数据不平衡预测RNA序列的编码潜力
Xian-Gan Chen,Shuai Liu,Wen Zhang
Xian-Gan Chen
Non-coding RNAs (ncRNAs)play an important role in various biological processes and are associated with diseases. Distinguishing between coding RNAs and ncRNAs, also known as predicting coding potential of RNA sequences, is critical for down...
Functional Genomics Platform, A Cloud-Based Platform for Studying Microbial Life at Scale [0.03%]
功能基因组平台，在云端进行大规模微生物生命研究的功能基因组平台
Edward E Seabolt,Gowri Nayar,Harsha Krishnareddy et al.
Edward E Seabolt et al.
The rapid growth in biological sequence data is revolutionizing our understanding of genotypic diversity and challenging conventional approaches to informatics. With the increasing availability of genomic data, traditional bioinformatic too...
LDA-LNSUBRW: lncRNA-Disease Association Prediction Based on Linear Neighborhood Similarity and Unbalanced bi-Random Walk [0.03%]
基于线性近邻相似性和非对称双随机游走的lncRNA-疾病关联预测方法(LDA-LNSUBRW)
Guobo Xie,Jiawei Jiang,Yuping Sun
Guobo Xie
Increasing number of experiments show that lncRNAs are involved in many biological processes, and their mutations and disorders are associated with many diseases. However, verifying the relationships between lncRNAs and diseases is time con...
frDriver: A Functional Region Driver Identification for Protein Sequence [0.03%]
功能性区域驱动识别在蛋白质序列中的应用/frDriver
Xinguo Lu,Xinyu Wang,Li Ding et al.
Xinguo Lu et al.
Identifying cancer drivers is a crucial challenge to explain the underlying mechanisms of cancer development. There are many methods to identify cancer drivers based on the single mutation site or the entire gene. But they ignore a large nu...
A Novel Graph Topology-Based GO-Similarity Measure for Signature Detection From Multi-Omics Data and its Application to Other Problems [0.03%]
一种基于图拓扑的GO相似性新测度用于多组学数据中的信号检测及其在其他问题上的应用
Koushik Mallick,Saurav Mallik,Sanghamitra Bandyopadhyay et al.
Koushik Mallick et al.
Large scale multi-omics data analysis and signature prediction have been a topic of interest in the last two decades. While various traditional clustering/correlation-based methods have been proposed, but the overall prediction is not alway...
Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm [0.03%]
利用渐进筛选型记忆算法检测与疾病相关的SNP-SNP交互作用
Boxin Guan,Yuhai Zhao,Ying Yin et al.
Boxin Guan et al.
Hundreds of thousands of single nucleotide polymorphisms (SNPs)are currently available for genome-wide association study (GWAS). Detecting disease-associated SNP-SNP interactions is considered an important way to capture the underlying gene...