Rule based classifier for the analysis of gene-gene and gene-environment interactions in genetic association studies [0.03%]
基于规则的分类器在遗传关联研究中的基因-基因和基因-环境互作分析中的应用
Thorsten Lehr,Jing Yuan,Dirk Zeumer et al.
Thorsten Lehr et al.
Background: Several methods have been presented for the analysis of complex interactions between genetic polymorphisms and/or environmental factors. Despite the available methods, there is still a need for alternative met...
Biclustering of gene expression data by correlation-based scatter search [0.03%]
基于相关性的扩散搜索在基因表达数据的双聚类中的应用
Juan A Nepomuceno,Alicia Troncoso,Jesús S Aguilar-Ruiz
Juan A Nepomuceno
Background: The analysis of data generated by microarray technology is very useful to understand how the genetic information becomes functional gene products. Biclustering algorithms can determine a group of genes which a...
A Normalized Tree Index for identification of correlated clinical parameters in microarray experiments [0.03%]
一种规范化的树形索引在微阵列实验中识别相关临床参数的方法
Christian W Martin,Anika Tauchen,Anke Becker et al.
Christian W Martin et al.
Background: Measurements on gene level are widely used to gain new insights in complex diseases e.g. cancer. A promising approach to understand basic biological mechanisms is to combine gene expression profiles and classi...
Blurring contact maps of thousands of proteins: what we can learn by reconstructing 3D structure [0.03%]
千种蛋白质的接触图模糊处理及通过三维结构重建得到的信息
Marco Vassura,Pietro Di Lena,Luciano Margara et al.
Marco Vassura et al.
Background: The present knowledge of protein structures at atomic level derives from some 60,000 molecules. Yet the exponential ever growing set of hypothetical protein sequences comprises some 10 million chains and this ...
An extended data mining method for identifying differentially expressed assay-specific signatures in functional genomic studies [0.03%]
功能基因组学研究中识别差异表达的测定特异性标志物的数据挖掘方法的一个扩展
Derrick K Rollins,Ailing Teh
Derrick K Rollins
Background: Microarray data sets provide relative expression levels for thousands of genes for a small number, in comparison, of different experimental conditions called assays. Data mining techniques are used to extract ...
Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis [0.03%]
合成视图：多队列、多种表型数据和元分析的SNP关联结果的可视化与解析
Sarah A Pendergrass,Scott M Dudek,Dana C Crawford et al.
Sarah A Pendergrass et al.
Background: Initial genome-wide association study (GWAS) discoveries are being further explored through the use of large cohorts across multiple and diverse populations involving meta-analyses within large consortia and n...
Chengwei Lei,Jianhua Ruan
Chengwei Lei
Background: Identifying approximately repeated patterns, or motifs, in DNA sequences from a set of co-regulated genes is an important step towards deciphering the complex gene regulatory networks and understanding gene fu...
Grammatical evolution decision trees for detecting gene-gene interactions [0.03%]
基于语法制导演化的决策树搜索基因-基因互作效应
Alison A Motsinger-Reif,Sushamna Deodhar,Stacey J Winham et al.
Alison A Motsinger-Reif et al.
Background: A fundamental goal of human genetics is the discovery of polymorphisms that predict common, complex diseases. It is hypothesized that complex diseases are due to a myriad of factors including environmental exp...
Transcriptome bioinformatic analysis identifies potential therapeutic mechanism of pentylenetetrazole in down syndrome [0.03%]
转录组生物信息学分析鉴定 pentetrazol在唐氏综合症中潜在的治疗机制
Abhay Sharma
Abhay Sharma
Background: Pentylenetetrazole (PTZ) has recently been found to ameliorate cognitive impairment in rodent models of Down syndrome (DS). The mechanism underlying PTZ's therapeutic effect in DS is however not clear. Microar...
GeneWaltz--A new method for reducing the false positives of gene finding [0.03%]
GeneWaltz-一种降低基因预测假阳性的新方法
Kazuharu Misawa,Reiko F Kikuno
Kazuharu Misawa
Background: Identifying protein-coding regions in genomic sequences is an essential step in genome analysis. It is well known that the proportion of false positives among genes predicted by current methods is high, especi...