Results 11 to 20 of about 89,233 (99)

Performance Analysis of Dimensionality Reduction Techniques in Cancer Detection using Microarray Data

ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY, 2021
Cancer is one of the major causes of deaths worldwide. This disease is more ghastly as it doesn’t announce itself until it reaches in an advance stage. Still, mortality rate for cancer can be decreased if we diagnose & provide treatment at earliest. Though there are traditional clinical trials to predict a cancer there does not a single test which can ...
Swati B. Bhonde, Dr. Jayashree R. Prasad
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A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis [PDF]

The Scientific World Journal, 2014
Cancer classification by doctors and radiologists was based on morphological and clinical features and had limited diagnostic ability in olden days. The recent arrival of DNA microarray technology has led to the concurrent monitoring of thousands of gene expressions in a single chip which stimulates the progress in cancer classification. In this paper,
Jaison Bennet, Chilambuchelvan Arul Ganaprakasam, Kannan Arputharaj   +2 more
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Analysis of Microarray Data using Artificial Intelligence Based Techniques

, 2016
Microarray is one of the essential technologies used by the biologists to measure genome-wide expression levels of genes in a particular organism under some particular conditions or stimuli. As microarrays technologies have become more prevalent, the challenges of analyzing these data for getting better insight about biological processes have ...
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Topographical Imaging Technique for Qualitative Analysis of Microarray Data [PDF]

BioTechniques, 2006
James Ch. Davis, Anna-Lisa Paul, Robert J. Ferl, Mark W. Meisel   +3 more
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Using an attribute estimation technique for the analysis of microarray data

, 2003
We present an original method for the analysis of microarray data based on an attribute estimation technique. We show, in the context of radioactive environmental stress, that this method can be used to detect a small number of genes that, highly probably, are involved in the response to this stress in yeast.
Mary, Jérémie, Mercier, Guillaume, Comet, Jean-Paul, Cornuéjols, Antoine, Froidevaux, Christine, Dutreix, Marie   +5 more
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Gene Ranking Techniques via Attribute Evaluation Algorithms for DNA Microarray Analysis [PDF]

International Conference on Aerospace Sciences and Aviation Technology, 2011
M. Al Senousy, H. El-Deeb, Kh. Badran, I. Al-Khlil   +3 more
openaire   +1 more source

Single Nucleotide Polymorphism Microarray Analysis Unveils Copy-Number Abnormalities and Genetic Heterogeneity in Malaysian Childhood B-Cell Precursor Acute Lymphoblastic Leukemia. [PDF]

Mol Genet Genomic Med
Mohd Dali NS, Aziz NA, Zulkifle MF, Zamri DA, Kamaluddin NR, Yeoh SL, Ho BL, Din ND, Ab Ghani AS, Wan Hassan WAH, Zakaria Z, Esa E, Mat Yusoff Y.   +12 more
europepmc   +1 more source

Integrating image processing with deep convolutional neural networks for gene selection and cancer classification using microarray data. [PDF]

Sci Rep
Zhang Y, Chen J, Zhang C.
europepmc   +1 more source

Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces. [PDF]

Sci Rep
Alweshah M, Jebril H, Kassaymeh S, Almiani M, Alkhalaileh S, Rjoub G.   +5 more
europepmc   +1 more source

Chorionic Villus Sampling in the Era of Genomic Medicine: A Gateway to Early and Personalized Prenatal Diagnosis. [PDF]

Appl Clin Genet
Wysocka U, Stępniewska J, Kozłowska M, Kucińska A, Banaś-Leżańska P, Ałaszewski W, Dudarewicz L, Kaczmarek P, Grzesiak MS, Gach A.   +9 more
europepmc   +1 more source