Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer's Disease Classification [0.03%]
基于sMRI图像ROI的轮廓波子带能量特征提取及在阿尔茨海默病分类中的应用研究
Jinwang Feng,Shao-Wu Zhang,Luonan Chen
Jinwang Feng
Structural magnetic resonance imaging (sMRI)-based Alzheimer's disease (AD) classification and its prodromal stage-mild cognitive impairment (MCI) classification have attracted many attentions and been widely investigated in recent years. O...
DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding [0.03%]
基于多层网络嵌入的蛋白质复合物识别算法DPCMNE
Xiangmao Meng,Ju Xiang,Ruiqing Zheng et al.
Xiangmao Meng et al.
Biological functions of a cell are typically carried out through protein complexes. The detection of protein complexes is therefore of great significance for understanding the cellular organizations and protein functions. In the past decade...
Stability and Bifurcation Analysis of a Diffusive miR-9/Hes1 Network With Time Delay [0.03%]
具时滞的扩散miR-9/Hes1网络的稳定性与分岔分析
Chengxian Li,Haihong Liu,Tonghua Zhang et al.
Chengxian Li et al.
In this paper, a model of miR-9/Hes1 interaction network involving one time delay and diffusion effect under the Neumann boundary conditions is studied. First of all, the stability of the positive equilibrium and the existence of local Hopf...
Detection of Phenotype-Related Mutations of COVID-19 via the Whole Genomic Data [0.03%]
基于新冠病毒全基因组数据的表型相关突变检测方法研究
Jinxiong Lv,Shikui Tu,Lei Xu
Jinxiong Lv
The coronavirus disease 2019 (COVID-19) epidemic continues to spread rapidly around the world and nearly 20 millions people are infected. This paper utilises both single-locus analysis and joint-SNPs analysis for detection of significant si...
A New Estimation Method for the Biological Interaction Predicting Problems [0.03%]
一种新的生物体相互作用预测问题估计方法
Lewei Zhou,Yucong Tang,Guiying Yan
Lewei Zhou
For the past decades, computational methods have been developed to predict various interactions in biological problems. Usually these methods treated the predicting problems as semi-supervised problem or positive-unlabeled(PU) learning prob...
2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV [0.03%]
2019-nCoV AS：开发针对2019-nCoV的流行传播预测、基因组分析和心理压力评估的网络服务
Ming Xiao,Guangdi Liu,Jianghang Xie et al.
Ming Xiao et al.
Since the COVID-19 epidemic is still expanding around the world and poses a serious threat to human life and health, it is necessary for us to carry out epidemic transmission prediction, whole genome sequence analysis, and public psychologi...
FBCwPlaid: A Functional Biclustering Analysis of Epi-Transcriptome Profiling Data Via a Weighted Plaid Model [0.03%]
基于加权梯形模型的表观转录组数据功能性双聚类分析方法研究(FBCwPlaid)
Shutao Chen,Lin Zhang,Lin Lu et al.
Shutao Chen et al.
Recent studies have shown that in-depth studies on epi-transcriptomic patterns of N6-methyladenosine (m6A) may help understand its complex functions and co-regulatory mechanisms. Since most biclustering algorithms are developed in scenarios...
Improved Protein Decoy Selection via Non-Negative Matrix Factorization [0.03%]
基于非负矩阵分解的改进蛋白质构象选择方法研究
Nasrin Akhter,Kazi Lutful Kabir,Gopinath Chennupati et al.
Nasrin Akhter et al.
A central challenge in protein modeling research and protein structure prediction in particular is known as decoy selection. The problem refers to selecting biologically-active/native tertiary structures among a multitude of physically-real...
Synchronization of Hyper-Lorenz System Based on DNA Strand Displacement [0.03%]
基于DNA strand置换的超Lorenz系统同步研究
Chengye Zou,Qiang Zhang,Xiaopeng Wei
Chengye Zou
Lorenz system is depicted by chemical reaction equations of an ideal formal chemical reaction network, and a series of reversible reactions are added into chemical reaction network in order to construct a cluster of hyper-Lorenz system. DNA...
miRCoop: Identifying Cooperating miRNAs via Kernel Based Interaction Tests [0.03%]
miRCoop：通过核函数相互作用测试识别合作的微小RNA
Gulden Olgun,Oznur Tastan
Gulden Olgun
Although miRNAs can cause widespread changes in expression programs, single miRNAs typically induce mild repression on their targets. Cooperativity among miRNAs is reported as one strategy to overcome this constraint. Expanding the catalog ...