Results 271 to 280 of about 185,542 (303)

Cell transfer technique for constructing cytological microarrays for immunocytochemical analysis

Cytopathology, 2016
ObjectiveTo 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, Chien-Hui Wen, P.-L. Ko, C.-H. Lin, Y.-J. Chen, Chee-Yin Chai   +5 more
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A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012
A 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, Taminau, Jonatan, Meganck, Stijn, Steenhoff, David, Nowe, Ann, Coletta, Alain, Molter, Colin, De Schaetzen, Virginie, Duque, Robin, Bersini, Hugues   +9 more
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Pattern Recognition Techniques in Microarray Data Analysis

Annals of the New York Academy of Sciences, 2002
Abstract: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.
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Clustering Techniques from Significance Analysis of Microarrays

2015
Microarray 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, R. Harikumar, K. Nirmalakumari   +2 more
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A Survey of Classification Techniques for Microarray Data Analysis

2011
With 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
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Genome-Wide Analysis of Pancreatic Cancer Using Microarray-Based Techniques

Pancreatology, 2009
Microarray-based comparative genomic hybridisation (CGH) has allowed high-resolution analysis of DNA copy number alterations across the entire cancer genome. Recent advances in bioinformatics tools enable us to perform a robust and highly sensitive analysis of array CGH data and facilitate the discovery of novel cancer-related genes.We analysed a total
Claude Chelala, Tatjana Crnogorac-Jurcevic, Nicholas R. Lemoine, Tomohiko Harada   +3 more
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Single Nucleotide Polymorphism Analysis in HIV and Kaposi's Sarcoma Disease by Microarray Technique

Current HIV Research, 2020
Background: Emergence of Kaposi's Sarcoma in the cases other than HIV, following the use of immunosuppressant drugs, demonstrates that it is related to weak immunity. The fact that this malignancy does not occur in every HIV-positive patient suggests that genetic predisposition may also be effective.
Ismail Koyuncu, Ataman Gönel, Emrah Ozcan, Ebru Temiz, Şahin Toprak, Feridun Akkafa, Irfan Binici   +6 more
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Performance analysis of clustering techniques over microarray data: A case study

Physica A: Statistical Mechanics and its Applications, 2018
Abstract Handling big data is one of the major issues in the field of statistical data analysis. In such investigation cluster analysis plays a vital role to deal with the large scale data. There are many clustering techniques with different cluster analysis approach. But which approach suits a particular dataset is difficult to predict. To deal with
Bijan Bihari Misra, Rasmita Dash
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Analysis of Gene Expression Discretization Techniques in Microarray Biclustering

2017
Gene expression biclustering analysis is a commonly used technique to see the interaction between genes under certain experiments or conditions. More specifically in the study of diseases, these methods are used to compare control and affected data in order to identify the involved or relevant genes.
Cristian Andrés Gallo, Julieta Sol Dussaut, Ignacio Ponzoni, Jessica Andrea Carballido   +3 more
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Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets

2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
DNA microarrays are a modern advancement in the analysis of genetic data. This technology allows a researcher to test samples for thousands of genes simultaneously. However, once the samples in the DNA microarrays have been tested, the researcher must then search through the data collected and identify genes important to their problem.
Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, David J. Dittman   +3 more
openaire   +2 more sources