Identification of self-regulatory network motifs in reverse engineering gene regulatory networks using microarray gene expression data [0.03%]
基于微阵列基因表达数据的反向推理基因调控网络中的自调节网络图式识别方法研究
Mehrosh Khalid,Sharifullah Khan,Jamil Ahmad et al.
Mehrosh Khalid et al.
Gene Regulatory Networks (GRNs) are reconstructed from the microarray gene expression data through diversified computational approaches. This process ensues in symmetric and diagonal interaction of gene pairs that cannot be modelled as dire...
Adaptive fractional-order blood glucose regulator based on high-order sliding mode observer [0.03%]
基于高阶滑模观测器的自适应分数阶血糖调节器
Hadi Delavari,Hamid Heydarinejad,Dumitru Baleanu
Hadi Delavari
Type I diabetes is described by the destruction of the insulin-producing beta-cells in the pancreas. Hence, exogenous insulin administration is necessary for Type I diabetes patients. In this study, to estimate the states that are not direc...
Rehabilitation of the Parkinson's tremor by using robust adaptive sliding mode controller: a simulation study [0.03%]
基于鲁棒自适应滑模控制的帕金森病震颤康复仿真研究
Korosh Rouhollahi,Mehran Emadi Andani,Javad Askari Marnanii et al.
Korosh Rouhollahi et al.
One of the efficient methods in controlling the Parkinson's tremor is Deep Brain Stimulation (DBS) therapy. The stimulation of Basal Ganglia (BG) by DBS brings no feedback though the existence of feedback reduces the additional stimulatory ...
Prediction of putative small molecules for manipulation of enriched signalling pathways in hESC-derived early cardiovascular progenitors by bioinformatics analysis [0.03%]
利用生物信息学分析预测调控人胚胎干细胞来源早期心血管祖细胞中富集信号通路的小分子化合物
Sadaf Vahdat,Behnaz Bakhshandeh
Sadaf Vahdat
Human pluripotent stem cell-derived cardiovascular progenitor cells (CPCs) are considered as powerful tools for cardiac regenerative medicine and developmental study. Mesoderm posterior1+ (MESP1+ ) cells are identified as the earliest CPCs ...
Robust observer based control for plasma glucose regulation in type 1 diabetes patient using attractive ellipsoid method [0.03%]
基于吸引椭圆法的一型糖尿病患者血糖调节的鲁棒观测器控制系统
Anirudh Nath,Rajeeb Dey
Anirudh Nath
This paper deals with the design of robust observer based output feedback control law for the stabilisation of an uncertain nonlinear system and subsequently apply the developed method for the regulation of plasma glucose concentration in T...
MicroRNAs and their target mRNAs as potential biomarkers among smokers and non-smokers with lung adenocarcinoma [0.03%]
吸烟和非吸烟肺腺癌患者中microRNA及其mRNA靶点的表达谱分析及生物标记物的筛选
Sumaria Malik,Rehan Zafar Paracha,Maryam Khalid et al.
Sumaria Malik et al.
Lung adenocarcinoma is one of the major causes of mortality. Current methods of diagnosis can be improved through identification of disease specific biomarkers. MicroRNAs are small non-coding regulators of gene expression, which can be pote...
Identification and analysis of circRNA-miRNA-mRNA regulatory network in hepatocellular carcinoma [0.03%]
肝细胞癌中circRNA-miRNA-mRNA调控网络的鉴定与分析
Daxiang Zhou,Ling Dong,Lishan Yang et al.
Daxiang Zhou et al.
This study was to identify important circRNA-miRNA-mRNA (ceRNAs) regulatory mechanisms in hepatocellular carcinoma (HCC). The circRNA dataset GSE97332 and miRNA dataset GSE57555 were used for analyses. Functional enrichment analysis for miR...
Efficient heart disease prediction-based on optimal feature selection using DFCSS and classification by improved Elman-SFO [0.03%]
基于DFCSS优选特征选择的高效心脏病预测及改进Elman-SFO分类方法
Jaishri Wankhede,Magesh Kumar,Palaniappan Sambandam
Jaishri Wankhede
Prediction of cardiovascular disease (CVD) is a critical challenge in the area of clinical data analysis. In this study, an efficient heart disease prediction is developed based on optimal feature selection. Initially, the data pre-processi...
Optimal minimum variance-entropy control of tumour growth processes based on the Fokker-Planck equation [0.03%]
基于Fokker-Planck方程的肿瘤生长过程的最优最小方差熵控制
Maliheh Sargolzaei,Gholamreza Latif-Shabgahi,Mahdi Afshar
Maliheh Sargolzaei
The authors demonstrated an optimal stochastic control algorithm to obtain desirable cancer treatment based on the Gompertz model. Two external forces as two time-dependent functions are presented to manipulate the growth and death rates in...
Petri Net modelling approach for analysing the behaviour of Wnt/[inline-formula removed] -catenin and Wnt/Ca2+ signalling pathways in arrhythmogenic right ventricular cardiomyopathy [0.03%]
用于分析心律失常型右室心肌病中Wnt/β-catenin和Wnt/Ca2+信号通路行为的Petri网建模方法
Nazia Azim,Jamil Ahmad,Nadeem Iqbal et al.
Nazia Azim et al.
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that may result in arrhythmia, heart failure and sudden death. The hallmark pathological findings are progressive myocyte loss and fibro fatty repla...