Results 231 to 240 of about 91,462 (268)

A study on microarray image gridding techniques for DNA analysis

2014 2nd International Conference on Electronic Design (ICED), 2014
Microarray is one of the most promising tools available for researchers in the life sciences to study gene expression profiles. Through microarray analysis, gene expression levels can be obtained, and the biological information of a disease can be identified. The gene expression information embedded in the microarray is extracted using image-processing
Maziidah Mukhtar Ahmad, Asral Bahari Jambek, Mohd Yusoff bin Mashor   +2 more
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Single Nucleotide Polymorphism Analysis in HIV and Kaposi's Sarcoma Disease by Microarray Technique

Current HIV Research, 2020
Background: Emergence of Kaposi's Sarcoma in the cases other than HIV, following the use of immunosuppressant drugs, demonstrates that it is related to weak immunity. The fact that this malignancy does not occur in every HIV-positive patient suggests that genetic predisposition may also be effective.
Ismail Koyuncu, Ataman Gönel, Emrah Ozcan, Ebru Temiz, Şahin Toprak, Feridun Akkafa, Irfan Binici   +6 more
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The optimized adaptive density estimation technique applied to microarray data analysis

2014 International Conference on Multimedia Computing and Systems (ICMCS), 2014
This paper describes and proposes a method of optimizing the smoothing parameter of an estimator of the probability density function (PDF) called the adaptive kernel estimator (AKE). This optimized estimator is used to build the Bayes classifier in the classification of microarray data. The study profiles and gene expression have made great advances in
Yissam Lakhdar, El Hassan Sbai
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An improved SOM-based visualization technique for DNA microarray data analysis

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010
Effective and meaningful visualization techniques are quite important for multidimensional DNA microarray gene expression data analysis. Elucidating the cluster properties of these multidimensional data are often complex. Patterns, hypotheses on the relationships, and ultimately of the function of the gene can be analyzed and visualized by non-linear ...
Jagdish Chandra Patra, Jacob A. Abraham, Pramod Kumar Meher, Goutam Chakraborty   +3 more
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Comparative study on dimension reduction techniques for cluster analysis of microarray data

The 2011 International Joint Conference on Neural Networks, 2011
This paper proposes a study on the impact of the use of dimension reduction techniques (DRTs) in the quality of partitions produced by cluster analysis of microarray datasets. We tested seven DRTs applied to four microarray cancer datasets and ran four clustering algorithms using the original and reduced datasets. Overall results showed that using DRTs
Daniel de Araújo 0001, Adrião Duarte Dória Neto, Allan de Medeiros Martins, Jorge Dantas de Melo   +3 more
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Performance Analysis of Microarray Data Classification using Machine Learning Techniques

International Journal of Knowledge Discovery in Bioinformatics, 2015
Microarray technology of DNA permits simultaneous monitoring and determining of thousands of gene expression activation levels in a single experiment. Data mining technique such as classification is extensively used on microarray data for medical diagnosis and gene analysis.
Subhendu Kumar Pani, Bikram Kesari Ratha, Ajay Kumar Mishra   +2 more
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Genome-Wide Analysis of Pancreatic Cancer Using Microarray-Based Techniques

Pancreatology, 2009
Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes.We analysed a total
Tomohiko, Harada, Claude, Chelala, Tatjana, Crnogorac-Jurcevic, Nicholas R, Lemoine   +3 more
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Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets

2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
DNA microarrays are a modern advancement in the analysis of genetic data. This technology allows a researcher to test samples for thousands of genes simultaneously. However, once the samples in the DNA microarrays have been tested, the researcher must then search through the data collected and identify genes important to their problem.
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano   +3 more
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DataMining Techniques for Microarray Data Analysis

2011
This chapter contains sections titled: Introduction Existing Tools Improved Tools Conclusions This chapter contains sections titled ...
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Spectral Estimation Techniques for DNA Sequence and Microarray Data Analysis

Current Bioinformatics, 2007
Spectral estimation techniques are widely used in modern signal processing systems. Recently, they have found important applications to the analysis of DNA data. In this paper, we review parametric and non-parametric spectral estimation methods for DNA sequence and microarray data analysis. The discrete Fourier transform (DFT) is the most commonly used
Yan, Hong, Pham, Tuan D.
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