Results 91 to 99 of about 89,233 (99)

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 Araujo, Adriao Doria Neto, Allan Martins, Jorge Melo   +3 more
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Novel Techniques for Microarray Data Analysis: Probabilistic Principal Surfaces and Competitive Evolution on Data

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 ...
AMATO R., CIARAMELLA A., DEL MONDO C., DE VINCO L., DONALEK C., LONGO, GIUSEPPE, MIELE, GENNARO, RAICONI G., STAIANO A., TAGLIAFERRI R.   +9 more
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Performance Comparisons between Unsupervised Clustering Techniques for Microarray Data Analysis on Ovarian Cancer

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
In this paper we present some performance comparisons of several unsupervised clustering techniques include: Self-Organizing Map (SOM), Fuzzy C-means (FCM) and hierarchical clustering, and they are employed to analyze the ovarian cancer microarray data. The data includes 15 samples with 9,600 genes and these samples include 5 benign ovarian tumors (OVT)
Meng-Hsiun Tsai, Ching-Hao Lai, Shin-Jr Lu, Shun-Feng Su   +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.
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse   +3 more
openaire   +1 more source

Impact of Normalization Techniques in Microarray Data Analysis

2023 IEEE Conference on Computer Applications (ICCA), 2023
Lwin May Thant, Sabai Phyu
openaire   +1 more source

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 ...
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mRNA Expression Analysis and Classification of Colonic Biopsy Samples Using Oligonucleotide and cDNA Microarray Techniques

Hungarian Medical Journal, 2008
A vastagbéldaganatok korai diagnosztikája, terápiája, követése napjainkban sem teljesen megoldott. Munkánk során a vastagbéldaganatok biomarker-vizsgálatát, génexpressziós elemzését és osztályozását végeztük. Munkacsoportunk vizsgálatai alapján megállapítható, hogy a biopsziás minták oligonukleotid microarray-vizsgálati módszere az Affymetrix minőségi ...
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[Preliminary analysis of gene expression profiles in oral cancer with microarray technique].

Shanghai kou qiang yi xue = Shanghai journal of stomatology, 2004
To study the difference in gene expression between oral squamous cell carcinoma tissue and their surrounding normal tissue by microarray so as to investigate the preliminary mechanism of pathogenesis of oral cancer.The tissues from 5 patients with oral squamous cell carcinoma tissue and their surrounding normal tissue from the same patients were ...
Jiang, Tao, Zeng-Tong, Zhou, Qing-Hua, Zhang, Yan-Zi, Du, Pei-Zheng, Zheng   +4 more
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Performance Analysis of Data Augmentation Techniques for Lung Cancer Classification using Microarray Data

2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
Akshat Bokdia, C Gunavathi
openaire   +1 more source