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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   +2 more
openaire   +3 more sources

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   +3 more
openaire   +3 more sources

Spectral Estimation Techniques for DNA Sequence and Microarray Data Analysis

open access: closedCurrent 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.
openaire   +4 more sources

Novel Techniques for Microarray Data Analysis: Probabilistic Principal Surfaces and Competitive Evolution on Data

open access: closedJournal 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 ...
AMATO R.   +9 more
  +8 more sources

Microarray and Single Cell Analysis Techniques in Bio-medical Fields

open access: closed, 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
openaire   +3 more sources

A Microarray Analysis Technique Using a Self-Organizing Multiagent Approach

2021
Microarray technology is fully established among the research fields in genetic domain. Academia and industrial researchers investigate and analyze genes' expression to obtain more and more useful information about given organisms, with the aim to perform better disease diagnosis and prediction, accurate medical data analysis, etc.
Forestiero A   +3 more
openaire   +4 more sources

A colon cancer microarray analysis technique

2017 E-Health and Bioengineering Conference (EHB), 2017
Colon cancer is a very spread malady at international level, symptoms occurring due to a number of vary conditions that may be totally ignored in early stages. Moreover, even treated surgical or with chemotherapy, lots of patients occur recurrence at a specific period of time, so more validated findings in the microarray analysis field, should improve ...
Catalin Buiu, Irina-Oana Petre
openaire   +2 more sources

A Comparative Analysis Approach of Unsupervised Techniques to Explore Their Potentiality in Microarray Data [PDF]

open access: possible2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), 2020
Clustering is a very useful machine learning technique to find the underlying classification of unlabeled data. In computational biology, clustering techniques are extensively used to identify a group of biomolecules responsible for biological activity in animals.
Prasad Bandyopadhyay   +2 more
openaire   +1 more source

A novel tissue array technique for high-throughput tissue microarray analysis — microarray groups

In Vitro Cellular & Developmental Biology - Animal, 2007
Tissue microarrays are ordered arrays of hundreds to thousands of tissue cores in a single paraffin block. We invented a novel method to make a high-throughput microarray group. Conventional smaller tissue microarrays were made first and then sectioned.
Hui-Yong Jiang   +4 more
openaire   +3 more sources

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   +2 more
openaire   +2 more sources

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