Results 261 to 270 of about 23,939,903 (293)

cDNA microarray image analysis

2009 14th National Biomedical Engineering Meeting, 2009
cDNA microarray image analysis has grown very important these days because of the growing field which it's part of: microarray expression analysis. In this work we propose a new cDNA microarray image analysis system. A cDNA microarray analysis system consists of three main parts which are Gridding, Segmentation and Information Extraction, respectively.
VARLI, Songül, Tozduman, Ersin
openaire   +2 more sources

Microarray Analysis of Ovarian Cancer

2005 IEEE International Conference on Systems, Man and Cybernetics, 2006
Microarray experiments were performed to normal ovaries, benign ovarian tumor and stage I and III of ovarian cancer. By treating benign ovarian tumor as pre-cancerous stage and comparing to later stages of ovarian cancer we identified 46 genes overly expressed in early-staged cancer.
G. Steven Huang, Yao-Ching Hung, Ann Chen, Meng-Yen Hong   +3 more
openaire   +1 more source

Microarray and Gene-Clustering Analysis

2005
Human mast cells are capable of secreting a plethora of inflammatory mediators and cytokines that may play a pivotal role in innate immune and inflammatory responses. Activation of mast cells by antigen and immunoglobulin E (IgE) results in signaling, gene expression, and expression of inflammatory mediators.
Tsung-Hsien, Tsai, Denise M, Milhorn, Shau-Ku, Huang   +2 more
openaire   +2 more sources

Cluster Analysis of Microarray Data

2019
The cluster analysis has been widely applied by researchers from several scientific fields over the last decades. Advances in knowledge of biological phenomena have revived a great interest in cluster analysis due in part to the large amount of microarray data.
Manuel, Franco, Juana-María, Vivo
openaire   +2 more sources

Computational analysis of microarray data

Nature Reviews Genetics, 2001
Microarray experiments are providing unprecedented quantities of genome-wide data on gene-expression patterns. Although this technique has been enthusiastically developed and applied in many biological contexts, the management and analysis of the millions of data points that result from these experiments has received less attention.
openaire   +2 more sources

Analysis of variance of microarray data.

Methods in enzymology, 2006
Analysis of variance (ANOVA) is an approach used to identify differentially expressed genes in complex experimental designs. It is based on testing for the significance of the magnitude of effect of two or more treatments taking into account the variance within and between treatment classes.
Ayroles, Julien F., Gibson, Greg
openaire   +4 more sources

Bioinformatics/Biostatistics: Microarray Analysis

2011
The quantity and complexity of the molecular-level data generated in both research and clinical settings require the use of sophisticated, powerful computational interpretation techniques. It is for this reason that bioinformatic analysis of complex molecular profiling data has become a fundamental technology in the development of personalized medicine.
openaire   +2 more sources

The MicroArray Quality Control (MAQC)-II Study of Common Practices for the Development and Validation of Microarray-Based Predictive Models

Nature Biotechnology, 2010
Joshua Xu, Shi Tieliu, Benedikt Brors
exaly  

Microarray Analysis and Tumor Classification

New England Journal of Medicine, 2006
John Quackenbush
exaly  

Accurate and Rapid Identification of Bacterial Species From Positive Blood Cultures With a DNA-Based Microarray Platform: An Observational Study

Lancet, The, 2010
Jim Huggett, Alimuddin Zumla, Laura E Savolainen   +2 more
exaly