Results 221 to 230 of about 91,462 (268)
Some of the next articles are maybe not open access.
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.
Cosmin Lazar +2 more
exaly +5 more sources
Performance analysis of clustering techniques over microarray data: A case study
Physica A: Statistical Mechanics and Its Applications, 2018Abstract 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
Rajashree Dash, Bijan Bihari Misra
exaly +2 more sources
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, Steven Skiena, Jizu Zhi
openaire +2 more sources
A colon cancer microarray analysis technique
2017 E-Health and Bioengineering Conference (EHB), 2017Colon cancer is a very spread malady at international level, symptoms occurring due to a number of vary conditions that may be totally ignored in early stages. Moreover, even treated surgical or with chemotherapy, lots of patients occur recurrence at a specific period of time, so more validated findings in the microarray analysis field, should improve ...
Irina-Oana Petre, Catalin Buiu
openaire +1 more source
A Microarray Analysis Technique Using a Self-Organizing Multiagent Approach
2021Microarray 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 +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, 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 +2 more sources
Analysis of Gene Expression Discretization Techniques in Microarray Biclustering
2017Gene 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 +3 more
openaire +1 more source
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 ...
C-H, Wen +5 more
openaire +2 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.
K. Nirmalakumari +2 more
openaire +1 more source
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 +1 more source