Classification of PCR-SSCP bands in T2DM by probabilistic neural network: a reliable tool [0.03%]
基于概率神经网络的T2DM患者PCR-SSCP图谱分类：一种可靠工具
A R S Badarinath,A Raja Das,Sreya Mazumder et al.
A R S Badarinath et al.
A Probabilistic Neural Network (PNN) is a statistical algorithm and consists of a grouping of multi-class data. The conventional method of detection of DNA mutations by the human eye may not detect the minute variations in PCR-SSCP bands, w...
A cohesive analysis of DNA/RNA sequences via entropy, energetics and spectral-domain methods to assess genomic features across single viral diversity [0.03%]
基于熵、能量及谱域方法的DNA/RNA序列整体分析以评估单一病毒多样性下的基因组特征
Perambur S Neelakanta,Sharmistha Chatterjee,Mirjana Pavlovic
Perambur S Neelakanta
In virology context, a particular virus may prevail in different forms of serotypes (as in the case of dengue 1-4 viral strains) with common and distinct genomic features. Finding such genomic details of a serogroup is useful in knowing rel...
Piero Ricchiuto,Judy C G Sng,Wilson Wen Bin Goh
Piero Ricchiuto
The naïve use of expression ratios in high-throughput biological studies can greatly limit analytical outcome especially when sample size is small. In the worst-case scenario, with only one reference and one test state each (often due to t...
Impact of pixel intensity correlations on statistical inferences of expression levels in cDNA microarray experiments [0.03%]
像素强度相关性对测定彩色微阵列中表达量的统计推论的影响
V S Binu,N S Nair,Prasad K Manjunatha et al.
V S Binu et al.
In a cDNA microarray experiment, the final measurement is intensity ratio at a spot in the microarray chip. The objective of the present study is to estimate the uncertainty associated with the final intensity ratio at each spot in cDNA mic...
BioInt: an integrative biological object-oriented application framework and interpreter [0.03%]
BioInt:一个集成的生物对象型应用框架和解释器
Sanket Desai,Prasad Burra
Sanket Desai
BioInt, a biological programming application framework and interpreter, is an attempt to equip the researchers with seamless integration, efficient extraction and effortless analysis of the data from various biological databases and algorit...
Mining nutrigenetics patterns related to obesity: use of parallel multifactor dimensionality reduction [0.03%]
与肥胖相关的营养遗传学特征的挖掘：并行多因子维度消减法的应用
Katerina N Karayianni,Keith A Grimaldi,Konstantina S Nikita et al.
Katerina N Karayianni et al.
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nutrigenetics study, in which nutritional and genetic factors associated with obesity were recorded for around two thousand individuals. In our...
Tannu Kumari,Kamal Raj Pardasani
Tannu Kumari
Class B GPCR family is a small group of receptors which are activated by peptides of intermediate length that range from 30 to 40 amino acid residues including hormones, neuropeptides and autocrine factors that mediate diverse physiological...
Juan Carlos Martinez,Nelson Lopez-Jimenez,Tao Meng et al.
Juan Carlos Martinez et al.
Bio-systems are inherently complex information processing systems. Their physiological complexities limit the formulation and testing of a hypothesis for their behaviour. Our goal here was to test a computational framework utilising publish...
Understanding the virulence of the entero-aggregative E. coli O104:H4 [0.03%]
解聚群产肠毒素大肠杆菌O104:H4的致病机制研究进展
B Kesavan,K V Srividhya,S Krishnaswamy et al.
B Kesavan et al.
O104:H4 is a new strain of E. coli that has caused an outbreak in Germany. It was isolated from patients with bloody diarrhoea and Haemolytic Uremic Syndrome (HUS). BGI (www.genomics.cn) sequenced and assembled this new strain. It was repor...
Shipra Gupta,Gauri Misra,S M Paul Khurana
Shipra Gupta
Bioinformatics is a multidisciplinary science that solves and analyzes biological problems. With the quantum explosion in biomedical data, the demand of bioinformatics has increased gradually. Present paper provides an overview of various w...