Results 211 to 220 of about 180,353 (259)
A Comparative Analysis Approach of Unsupervised Techniques to Explore Their Potentiality in Microarray Data [PDF]
2020 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
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A novel tissue array technique for high-throughput tissue microarray analysis — microarray groups
In Vitro Cellular & Developmental Biology - Animal, 2007Tissue 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), 2014Microarray 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
DataMining Techniques for Microarray Data Analysis
2011This chapter contains sections titled: Introduction Existing Tools Improved Tools Conclusions This chapter contains sections titled ...
Mehmed Kantardzic, Jozef Zurada
openaire +2 more sources
Cell transfer technique for constructing cytological microarrays for immunocytochemical analysis
Cytopathology, 2016ObjectiveTo 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 ...
Y.-F. Kuo +5 more
openaire +2 more sources
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application areas like combinatorial chemistry, text mining, multivariate imaging, or bioinformatics.
Lazar, Cosmin +9 more
openaire +4 more sources
Pattern Recognition Techniques in Microarray Data Analysis
Annals of the New York Academy of Sciences, 2002Abstract:Recent development of technologies (e.g., microarray technology) that are capable of producing massive amounts of genetic data has highlighted the need for new pattern recognition techniques that can mine and discoverbiologically meaningfulknowledge in large data sets.
openaire +3 more sources
Spectral Estimation Techniques for DNA Sequence and Microarray Data Analysis
Current Bioinformatics, 2007Spectral 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 +3 more sources
Clustering Techniques from Significance Analysis of Microarrays
2015Microarray technology is a prominent tool that analyzes many thousands of gene expressions in a single experiment as well as to realize the primary genetic causes of various human diseases. There are abundant applications of this technology and its dataset is of high dimension and it is difficult to analyze the whole gene sets.
P. Rajkumar +2 more
openaire +2 more sources
A Survey of Classification Techniques for Microarray Data Analysis
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
openaire +2 more sources