Results 211 to 220 of about 188,901 (238)

Performance Analysis of Microarray Data Classification using Machine Learning Techniques

International Journal of Knowledge Discovery in Bioinformatics, 2015
Microarray technology of DNA permits simultaneous monitoring and determining of thousands of gene expression activation levels in a single experiment. Data mining technique such as classification is extensively used on microarray data for medical diagnosis and gene analysis.
Ajay Kumar Mishra, Subhendu Kumar Pani, Bikram Kesari Ratha   +2 more
openaire   +2 more sources

DNA Microarrays and Related Genomics Techniques

2005
Microarray Platforms and Blood Samples, P.M. Gaffney, K.L. Moser, E.C. Baechler, and T.W. Behrens Introduction Microarray Technology Autoantigen and Cytokine Microarrays DNA and Oligonucleotide Microarrays Tiling Arrays Data Analysis Future Directions References Normalization of Microarray Data, R.S. Parrish and R.R.
T. Mark Beasley, Grier P. Page, David B. Allison, Jode W. Edwards   +3 more
openaire   +2 more sources

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
openaire   +2 more sources

A Survey of Gene Selection and Classification Techniques Based on Cancer Microarray Data Analysis

2018 IEEE 4th International Conference on Computer and Communications (ICCC), 2018
A growing number of cancer deaths draws attractions in the areas of bioinformatics worldwide. It is worth noting that cancer microarray data is composed of tens of thousands of genes, but there are only a few dozens of genes that are really relative to cancers.
Sushing Chen, Xuebin Xu, He Tingting, Xinman Zhang, Liwei Ouyang   +4 more
openaire   +2 more sources

Challenges and Future Trends for Microarray Analysis.

Methods in molecular biology, 2019
V. Bolón-Canedo, A. Alonso-Betanzos, Ignacio López-de-Ullibarri, R. Cao   +3 more
semanticscholar   +1 more source

MOLECULAR TECHNIQUES FOR THE ANALYSIS OF SOIL MICROBIAL PROCESSES: FUNCTIONAL GENE ANALYSIS AND THE UTILITY OF DNA MICROARRAYS

Soil Science, 2003
Traditional methods for the analysis of soil processes are based on measuring and modeling the distribution of chemical compounds and determining their transformation rates. These approaches have formed the basis of our understanding of soil biogeochemical processes, and they have demonstrated the fundamental role of microbes in regulating these ...
openaire   +2 more sources

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 ...
openaire   +3 more sources

ROC Curves for the Statistical Analysis of Microarray Data.

Methods in molecular biology, 2019
R. Cao, Ignacio López-de-Ullibarri
semanticscholar   +1 more source

A Survey on Feature Selection and Extraction Techniques for High-Dimensional Microarray Datasets

, 2018
G. Manikandan, S. Abirami
semanticscholar   +1 more source

Methanotrophic bacteria associated to rice roots: the cultivar effect assessed by T-RFLP and microarray analysis.

Environmental Microbiology Reports, 2011
C. Lüke, L. Bodrossy, E. Lupotto, P. Frenzel   +3 more
semanticscholar   +1 more source