Results 271 to 280 of about 187,728 (325)

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.
Cosmin Lazar, Jonatan Taminau, Stijn Meganck   +2 more
exaly   +5 more sources

A Microarray Analysis Technique Using a Self-Organizing Multiagent Approach

2021
Microarray technology is fully established among the research fields in genetic domain. Academia and industrial researchers investigate and analyze genes' expression to obtain more and more useful information about given organisms, with the aim to perform better disease diagnosis and prediction, accurate medical data analysis, etc.
Forestiero A, Papuzzo G, De Simone R, Varchera R   +3 more
openaire   +4 more sources

A novel tissue array technique for high-throughput tissue microarray analysis — microarray groups

In Vitro Cellular & Developmental Biology - Animal, 2007
Tissue 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, Xue-Feng, Zhang, Li, Liu, Hui-Ling, Li, Tong, Zhao   +4 more
openaire   +2 more sources

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 ...
C-H, Wen, C-H, Lin, P-L, Ko, Y-F, Kuo, Y-J, Chen, C-Y, Chai   +5 more
openaire   +2 more sources

The optimized adaptive density estimation technique applied to microarray data analysis

2014 International Conference on Multimedia Computing and Systems (ICMCS), 2014
This paper describes and proposes a method of optimizing the smoothing parameter of an estimator of the probability density function (PDF) called the adaptive kernel estimator (AKE). This optimized estimator is used to build the Bayes classifier in the classification of microarray data. The study profiles and gene expression have made great advances in
Yissam Lakhdar, El Hassan Sbai
openalex   +2 more sources

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.
Julieta Sol Dussaut, Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni   +3 more
openaire   +1 more source

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 Araújo, Adrião Duarte Dória Neto, Allan Martins, Jorge Dantas de Melo   +3 more
openalex   +2 more sources

A study on microarray image gridding techniques for DNA analysis

2014 2nd International Conference on Electronic Design (ICED), 2014
Microarray 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, Asral Bahari Jambek, Mohd Yusoff bin Mashor   +2 more
openaire   +1 more source

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
openaire   +2 more sources

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.
K. Nirmalakumari, R. Harikumar, P. Rajkumar   +2 more
openaire   +1 more source