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A Survey of Classification Techniques for Microarray Data Analysis
Handbook of Statistical Bioinformatics, 2011With the recent advance of biomedical technology, a lot of ‘OMIC’ data from genomic, transcriptomic, and proteomic domain can now be collected quickly and cheaply. One such technology is the microarray technology which allows researchers to gather information on expressions of thousands of genes all at the same time.
Wai-Ki Yip, Samir B. Amin, Cheng Li
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Genome-Wide Analysis of Pancreatic Cancer Using Microarray-Based Techniques
Pancreatology, 2009Microarray-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 +3 more
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Cell transfer technique for constructing cytological microarrays for immunocytochemical analysis
Cytopathology, 2016 ObjectiveTo 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 ...
Chien-Hui Wen +5 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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Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques
2010 Ninth International Conference on Machine Learning and Applications, 2010One 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.
David J. Dittman +3 more
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Microarray and Single Cell Analysis Techniques in Bio-medical Fields
, 2007 Molecular diagnostic technologies will play a significant role in practice of medicine, public health and pharmaceutical industry. Together with genomics and proteomics techniques, the field of pharmacogenomics will develop, with the goal of personalization of diagnosis and therapy, for optimal efficiency and reduced toxicity, contributing to ...
Wilhelm Ansorge
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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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Journal of Computational and Theoretical Nanoscience, 2005 Microarrays are among the most powerful tools in biological research, but in order to attain its full potentialities, it is imperative to develop techniques capable to effectively exploit the huge quantity of data which they produce. In this paper two machine learning methodologies for microarray data analysis are proposed: (1) Probabilistic Principal ...
Roberto Amato +9 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 +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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