نتایج جستجو برای: microarray integration
تعداد نتایج: 268861 فیلتر نتایج به سال:
Large-scale parallel measurement of whole-genome RNA expression is now possible with high-density arrays of cDNA or oligonucleotides. Using this technology efficiently will require the integration of other sources of biological information, such as gene identity, biomedical literature and biochemical pathway for a given gene. Such integration is essential to understand the cellular program of g...
MOTIVATION DNA microarray data analysis has been used previously to identify marker genes which discriminate cancer from normal samples. However, due to the limited sample size of each study, there are few common markers among different studies of the same cancer. With the rapid accumulation of microarray data, it is of great interest to integrate inter-study microarray data to increase sample ...
The widespread application of tissue microarrays in cancer research and the clinical pathology laboratory demonstrates a versatile and portable technology. The rapid integration of tissue microarrays into biomarker discovery and validation processes reflects the forward thinking of researchers who have pioneered the high-density tissue microarray. The precise arrangement of hundreds of archival...
While it is possible to interpret microarray experiments a single gene at a time, most studies generate long lists of differentially expressed genes whose interpretation requires the integration of prior biological knowledge. This prior knowledge is stored in various public and private databases and covers several aspects of gene function and biological information. In this review, we will desc...
In this paper we introduce a new method for extracting enriched biological functions from transcriptomic databases using an integrative bi-classification approach. The initial gene datasets are firstly represented as a formal context (objects × attributes), where objects are genes, and attributes are their expression profiles and complementary informations of different knowledge bases. After th...
This paper illustrates how the Quadratic Assignment Problem (QAP) is used as a mathematical model that helps to produce a visualization of microarray data, based on the relationships between the objects (genes or samples). The visualization method can also incorporate the result of a clustering algorithm to facilitate the process of data analysis. Specifically, we show the integration with a gr...
Microarray data processing spans a large number of research themes starting from (1) microarray image analysis, (2) data cleaning and pre-processing, semantic integration of heterogeneous, distributed bio-medical databases, (3) exploration of existing data mining tools for bio-data analysis, and (4) development of advanced, effective, and scalable data mining methods in bio-data analysis [9]. T...
Various user groups at the University of Leipzig use microarray technology (mainly from Affymetrix Inc.) for gene expression analysis in their research and are producing several hundreds of experiment a year. To manage the large amounts of data resulting from these experiments, a comprehensive database solution is necessary, in particular to store raw microarray data as well as derived data and...
introduction: in iran, invasive nontyphoidal salmonella (ints) disease causes severe bacteremic illness among children <5 years old. the global yearly incidence of ints disease in children was reported to be in the 3.4 (range 2.1-6.5) million cases, (overall incidence 49 cases (range 30-94) per 100,000 population), the ints case-fatality ratio (cfr) of 20% yielded 681,316 deaths annually. me...
MOTIVATION Clinical data, such as patient history, laboratory analysis, ultrasound parameters--which are the basis of day-to-day clinical decision support--are often underused to guide the clinical management of cancer in the presence of microarray data. We propose a strategy based on Bayesian networks to treat clinical and microarray data on an equal footing. The main advantage of this probabi...
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