Results 231 to 240 of about 89,130 (269)
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 ...
Chien-Hui Wen +5 more
openalex +3 more sources
DataMining Techniques for Microarray Data Analysis
, 2011 This chapter contains sections titled: Introduction Existing Tools Improved Tools Conclusions This chapter contains sections titled ...
openalex +2 more sources
Microarray and Single Cell Analysis Techniques in Bio-medical Fields
, 2007 Molecular diagnostic technologies will play a significant role in practice of medicine, public health and pharmaceutical industry. Together with genomics and proteomics techniques, the field of pharmacogenomics will develop, with the goal of personalization of diagnosis and therapy, for optimal efficiency and reduced toxicity, contributing to ...
Wilhelm Ansorge
openalex +2 more sources
Journal of Computational and Theoretical Nanoscience, 2005 Microarrays are among the most powerful tools in biological research, but in order to attain its full potentialities, it is imperative to develop techniques capable to effectively exploit the huge quantity of data which they produce. In this paper two machine learning methodologies for microarray data analysis are proposed: (1) Probabilistic Principal ...
Roberto Amato +9 more
openalex +5 more sources
SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings, 2023 Nodule bacteria increase the resistance of host plants to abiotic stress factors; however, the role of the genetic potential of rhizobia in the formation of productive salt-tolerant plant-microbial symbiosis remains underestimated. The aim of the study was to evaluate the pool of genes responsible for the salt tolerance of the alfalfa microsymbiont ...
Victoria S. Muntyan +4 more
openalex +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
Fuzzy set-based microarray data analysis techniques for interesting block identification
2009 IEEE International Conference on Fuzzy Systems, 2009 Microarrays are one of biotechnology products which enable to measure the expression level of thousands of genes simultaneously. It is sometimes crucial to identify some interesting blocks from microarray data for further investigation. Due to the massive volume of data, it is desirable to get assistance of software tools to handle this task.
Keon Myung Lee +2 more
openalex +2 more sources
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 +3 more
openalex +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Analysis techniques for microarray time-series data
Proceedings of the fifth annual international conference on Computational biology, 2001We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that less than 20% of known regulatory pairs exhibit strong correlations in the Cho/Spellman data sets.
Vladimir, Filkov +2 more
openaire +2 more sources