Results 281 to 290 of about 185,542 (303)

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 ...
Pramod Kumar Meher, Goutam Chakraborty, Jacob Abraham, Jagdish C. Patra   +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.
Ajay Kumar Mishra, Subhendu Kumar Pani, Bikram Kesari Ratha   +2 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 Araújo, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de Medeiros Martins   +3 more
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DNA Microarrays and Related Genomics Techniques

2005
Microarray Platforms and Blood Samples, P.M. Gaffney, K.L. Moser, E.C. Baechler, and T.W. Behrens Introduction Microarray Technology Autoantigen and Cytokine Microarrays DNA and Oligonucleotide Microarrays Tiling Arrays Data Analysis Future Directions References Normalization of Microarray Data, R.S. Parrish and R.R.
T. Mark Beasley, Grier P. Page, David B. Allison, Jode W. Edwards   +3 more
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Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques

2010 Ninth International Conference on Machine Learning and Applications, 2010
One of today’s most important scientific research topics is discovering the genetic links between cancers. This paper contains the results of a comparison of three different cancers (breast, colon, and lung) based on the results of feature selection techniques on a data set created from DNA micro array data consisting of samples from all three cancers.
Jason Van Hulse, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald   +3 more
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A multi-objective feature selection and classifier ensemble technique for microarray data analysis

International Journal of Data Mining and Bioinformatics, 2018
Since last few years, microarray technology has got tremendous application in many biomedical researches. Many intelligent models have been developed with different biological interpretation. This work presents a multi-objective feature selection and classifier ensemble (MOFSCE) technique for microarray data. MOFSCE works in two phases. The first phase
Rasmita Dash, Bijan Bihari Misra
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A Survey of Gene Selection and Classification Techniques Based on Cancer Microarray Data Analysis

2018 IEEE 4th International Conference on Computer and Communications (ICCC), 2018
A growing number of cancer deaths draws attractions in the areas of bioinformatics worldwide. It is worth noting that cancer microarray data is composed of tens of thousands of genes, but there are only a few dozens of genes that are really relative to cancers.
Sushing Chen, Xuebin Xu, He Tingting, Xinman Zhang, Liwei Ouyang   +4 more
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Fuzzy set-based microarray data analysis techniques for interesting block identification

2009 IEEE International Conference on Fuzzy Systems, 2009
Microarrays are one of biotechnology products which enable to measure the expression level of thousands of genes simultaneously. It is sometimes crucial to identify some interesting blocks from microarray data for further investigation. Due to the massive volume of data, it is desirable to get assistance of software tools to handle this task.
Keon Myung Lee, Kyung Soon Hwang, Chan Hee Lee   +2 more
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MOLECULAR TECHNIQUES FOR THE ANALYSIS OF SOIL MICROBIAL PROCESSES: FUNCTIONAL GENE ANALYSIS AND THE UTILITY OF DNA MICROARRAYS

Soil Science, 2003
Traditional methods for the analysis of soil processes are based on measuring and modeling the distribution of chemical compounds and determining their transformation rates. These approaches have formed the basis of our understanding of soil biogeochemical processes, and they have demonstrated the fundamental role of microbes in regulating these ...
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