Hien Nguyen,Mingzhou Song
Hien Nguyen
Cellular behaviour depends on and also modifies protein concentration and activity. An integrated cellular and gene interaction model is proposed to reveal this relationship. In this model, protein activity varies spatiotemporally with cell...
Identification of cortical landmarks based on structural connectivity to subcortical regions [0.03%]
基于皮层与亚皮层脑区结构连接的皮层定位方法研究
Degang Zhang,Lei Guo,Xintao Hu et al.
Degang Zhang et al.
Quantitative assessment of structural connectivities between cortical and subcortical regions has been of increasing interest in recent years. This paper proposes an algorithmic pipeline for identification of reliable cortical landmarks bas...
Divya Sahu,Ashutosh Kumar,D M Pandey
Divya Sahu
Citronella oil is one of the essential oils obtained from Cymbopogon sp. having medicinally important aromatic chemicals (like citronellal, citronellol, hydroxy-citronellol and geraniol) exhibiting insecticidal, anti-oxidant and anti-inflam...
Prioritisation of candidate Single Amino Acid Polymorphisms using one-class learning machines [0.03%]
基于单类学习机的候选单氨基酸多态性优先级划分方法
Jiaxin Wu,Mingxin Gan,Rui Jiang
Jiaxin Wu
Recent advancements of the next-generation sequencing technology have enabled the direct sequencing of rare genetic variants in both case and control individuals. Although there have been a few statistical methods for uncovering potential a...
Perturbation and candidate analysis to combat overfitting of gene expression microarray data [0.03%]
扰动和候选项分析以对抗基因表达数据过拟合问题
Ravi Mathur,J David Schaffer,Walker H Land Jr et al.
Ravi Mathur et al.
Analysis of gene expression microarray datasets presents the high risk of over-fitting (spurious patterns) because of their feature-rich but case-poor nature. This paper describes our ongoing efforts to develop a method to combat over-fitti...
Detection of functional modules from protein interaction networks with an enhanced random walk based algorithm [0.03%]
一种改进的随机游走算法在蛋白质相互作用网络中发掘功能模块
Bingjing Cai,Haiying Wang,Huiru Zheng et al.
Bingjing Cai et al.
In this paper, we propose a new random walk-based clustering algorithm for detecting functional modules in protein-protein interaction (PPI) networks. It has been tested on two yeast PPI networks. Greater precision, better homogeneity and h...
LigSeeSVM: ligand-based virtual screening using support vector machines and data fusion [0.03%]
基于支持向量机和数据融合的虚拟筛选方法LigSeeSVM
Yen-Fu Chen,Kai-Cheng Hsu,Po-Tsun Lin et al.
Yen-Fu Chen et al.
Ligand-based in silico drug screening is useful for lead discovery, in particular for those targets without structures. Here, we have developed LigSeeSVM, a ligand-based screening tool using data fusion and Support Vector Machines (SVMs). W...
Identification and classification of cocci bacterial cells in digital microscopic images [0.03%]
数字显微图像中球形细菌的识别与分类
P S Hiremath,Parashuram Bannigidad
P S Hiremath
In cytology, automating the feature extraction process yields an objective, quantitative, detailed and reproducible computation of cell morphofunctional characteristics and allows the analysis of a large quantity of images. The objective of...
Sayyed Rasoul Mousavi
Sayyed Rasoul Mousavi
The Closest String Problem (CSP) is an optimisation problem, which is to obtain a string with the minimum distance from a number of given strings. In this paper, a new metaheuristic algorithm is investigated for the problem, whose main feat...
Flora S Tsai
Flora S Tsai
The study of Protein-Protein Interactions (PPIs) is of great importance in determining the biological function and impact of proteins. However, the constant discovery of new PPIs makes it extremely time-consuming to manually extract informa...