Association between a prognostic gene signature and functional gene sets [0.03%]
预后基因签名与功能基因组集之间的关联关系
Manuela Hummel,Klaus H Metzeler,Christian Buske et al.
Manuela Hummel et al.
Background: The development of expression-based gene signatures for predicting prognosis or class membership is a popular and challenging task. Besides their stringent validation, signatures need a functional interpretati...
Robert R Delongchamp,Cruz Velasco,Varsha G Desai et al.
Robert R Delongchamp et al.
Background: Bioassays are routinely used to evaluate the toxicity of test agents. Experimental designs for bioassays are largely encompassed by fixed effects linear models. In toxicogenomics studies where DNA arrays measu...
Evidence of highly regulated genes (in-Hubs) in gene networks of Saccharomyces cerevisiae [0.03%]
酿酒酵母基因网络中高度调控基因（网内中心节点）的证据
Jesper Lundström,Johan Björkegren,Jesper Tegnér
Jesper Lundström
Uncovering interactions between genes, gene networks, is important to increase our understanding of intrinsic cellular processes and responses to external stimuli such as drugs. Gene networks can be computationally inferred from repeated me...
Normalization and gene p-value estimation: issues in microarray data processing [0.03%]
微阵列数据处理中的规范化和基因p值估计问题
Katrin Fundel,Robert Küffner,Thomas Aigner et al.
Katrin Fundel et al.
Introduction: Numerous methods exist for basic processing, e.g. normalization, of microarray gene expression data. These methods have an important effect on the final analysis outcome. Therefore, it is crucial to select m...
The use of artificial neural networks in prediction of congenital CMV outcome from sequence data [0.03%]
基于序列数据预测先天性CMV结局的人工神经网络的应用
Ravit Arav-Boger,Yuval S Boger,Charles B Foster et al.
Ravit Arav-Boger et al.
A large number of CMV strains has been reported to circulate in the human population, and the biological significance of these strains is currently an active area of research. The analysis of complex genetic information may be limited using...
Unsupervised meta-analysis on diverse gene expression datasets allows insight into gene function and regulation [0.03%]
无监督元分析揭示不同基因表达数据集的基因功能和调控规律
Julia C Engelmann,Roland Schwarz,Steffen Blenk et al.
Julia C Engelmann et al.
Over the past years, microarray databases have increased rapidly in size. While they offer a wealth of data, it remains challenging to integrate data arising from different studies. Here we propose an unsupervised approach of a large-scale ...
Thomas M Morse
Thomas M Morse
Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computational data, together with innovative software tools, essential for understanding the nervous system in its normal function and in neurologica...
Amy M Hauth,Gertraud Burger
Amy M Hauth
Motivation: A recurrent criticism is that certain bioinformatics tools do not account for crucial biology and therefore fail answering the targeted biological question. We posit that the single most important reason for s...
Evaluation of combining several statistical methods with a flexible cutoff for identifying differentially expressed genes in pairwise comparison of EST sets [0.03%]
联合运用多种统计方法并使用灵活阈值识别表达差异基因的评价研究——以成对EST集合比较为例
Angelica Lindlöf,Marcus Bräutigam,Aakash Chawade et al.
Angelica Lindlöf et al.
The detection of differentially expressed genes from EST data is of importance for the discovery of potential biological or pharmaceutical targets, especially when studying biological processes in less characterized organisms and where larg...
Topological properties of co-occurrence networks in published gene expression signatures [0.03%]
发表的基因表达谱中共同发生的网络的拓扑性质
Heiko Muller,Francesco Acquati
Heiko Muller
Meta-analysis of high-throughput gene expression data is often used for the interpretation of proprietary gene expression data sets. We have recently shown that co-occurrence patterns of gene expression in published cancer-related gene expr...