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DataMining Techniques for Microarray Data Analysis
2011This chapter contains sections titled: Introduction Existing Tools Improved Tools Conclusions This chapter contains sections titled ...
Mehmed Kantardzic, Jozef Zurada
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Cell transfer technique for constructing cytological microarrays for immunocytochemical analysis
Cytopathology, 2016ObjectiveTo evaluate the utility of a proposed cell transfer technique for constructing cytological smear microarrays and its potential applications in multiplex immunocytochemical (ICC) staining.MethodsNinety‐six cytology smears, including two pericardial effusions, 22 ascites and 72 pleural effusions, were transferred to a 33‐plex cytological ...
Y.-F. Kuo +5 more
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Clustering Techniques from Significance Analysis of Microarrays
2015Microarray technology is a prominent tool that analyzes many thousands of gene expressions in a single experiment as well as to realize the primary genetic causes of various human diseases. There are abundant applications of this technology and its dataset is of high dimension and it is difficult to analyze the whole gene sets.
P. Rajkumar +2 more
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J. Comput. Biol., 2019
The employment of machine learning (ML) approaches to extract gene expression information from microarray studies has increased in the past years, specially on cancer-related works.
B. C. Feltes +3 more
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The employment of machine learning (ML) approaches to extract gene expression information from microarray studies has increased in the past years, specially on cancer-related works.
B. C. Feltes +3 more
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Single Nucleotide Polymorphism Analysis in HIV and Kaposi's Sarcoma Disease by Microarray Technique
Current HIV Research, 2020Background: 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 +6 more
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Performance analysis of clustering techniques over microarray data: A case study
Physica A: Statistical Mechanics and its Applications, 2018Abstract Handling big data is one of the major issues in the field of statistical data analysis. In such investigation cluster analysis plays a vital role to deal with the large scale data. There are many clustering techniques with different cluster analysis approach. But which approach suits a particular dataset is difficult to predict. To deal with
Bijan Bihari Misra, Rasmita Dash
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Analysis of Gene Expression Discretization Techniques in Microarray Biclustering
2017Gene expression biclustering analysis is a commonly used technique to see the interaction between genes under certain experiments or conditions. More specifically in the study of diseases, these methods are used to compare control and affected data in order to identify the involved or relevant genes.
Cristian Andrés Gallo +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, 2012DNA 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.
Randall Wald +3 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), 2014This 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), 2010Effective 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 +3 more
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