Results 151 to 160 of about 557,537 (198)
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Boosting and Microarray Data

Machine Learning, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Long, Philip M.   +1 more
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Microarray Data Analysis

2010
Gene expression profiling has revolutionized functional genomics research by providing a quick handle on all the transcriptional changes that occur in the cell in response to internal or external perturbations or developmental programs. Microarrays have become the most popular technology for recording gene expression profiles.
Saroj K, Mohapatra, Arjun, Krishnan
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Alignment of Microarray Data

2021
The aim in microarray data analysis is to discover patterns of gene expression and to identify similar genes. Simply comparing new gene sequences to known DNA sequences often does not reveal the function of a new gene; thus, more sophisticated techniques are in order.
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Classification of Microarray Data

2019
The automatic classification of DNA microarray data is one of the hot topics in the field of bioinformatics, since it is an effective tool for the diagnosis of diseases in patients. The aim of this chapter is to present the most relevant aspects related to the classification of microarrays.
Noelia, Sánchez-Maroño   +2 more
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[Microarray data analysis].

Ugeskrift for laeger, 2006
Microarrays might be used for future diagnostic and prognostic purposes. High-density oligonucleotide arrays are promising in this respect. The microarray data consist of intensity files, which are transformed into expression matrices by the application of several mathematical modifications.
Rehannah H A, Borup   +3 more
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Methods for Microarray Data Analysis

2007
This chapter outlines a typical workflow for micraorray data analysis. It aims at explaining the background of the methods as this is necessary for deciding upon a specific numerical method to use and for understanding and interpreting the outcomes of the analyses.
De Bruyne, Veronique   +2 more
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Microarray Data Analysis and Mining

2004
DNA microarray is an innovative technology for obtaining information on gene function. Because it is a high-throughput method, computational tools are essential in data analysis and mining to extract the knowledge from experimental results. Filtering procedures and statistical approaches are frequently combined to identify differentially expressed ...
SAVIOZZI, Silvia   +4 more
openaire   +5 more sources

Microarray data mining

ACM SIGKDD Explorations Newsletter, 2003
All organisms on Earth, except for viruses, consist of cells. Yeast, for example, has one cell, while humans have trillions of cells. All cells have a nucleus, and inside nucleus there is DNA, which encodes the “program” for making future organisms. DNA has coding and non-coding segments, and coding segments, called “genes”, specify the structure of ...
Gregory Piatetsky-Shapiro, Pablo Tamayo
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Discovering Patterns in Microarray Data

Molecular Diagnosis, 2000
The human genome is a complex system characterized by gene interactions and nonlinear behaviors. Complex systems cannot be viewed as the aggregate of their isolated pieces but must be studied as an integrated whole. Microarray technologies offer the opportunity to see the entire biological system as it existed at one moment in time.
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Microarray Data Mining

2010
Microarray technology is a powerful tool to analyze thousands of gene expression values with a single experiment. Due to the huge amount of data, most of recent studies are focused on the analysis and the extraction of useful and interesting information from microarray data. Examples of applications include detecting genes highly correlated to diseases,
BRUNO, GIULIA, FIORI, ALESSANDRO
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