Results 21 to 30 of about 91,462 (268)

Computational Intelligence Techniques for Classification in Microarray Analysis [PDF]

, 2010
During the last few years there has been a growing need for using computational intelligence techniques to analyze microarray data. The aim of the system presented in this study is to provide innovative decision support techniques for classifying data from microarrays and for extracting knowledge about the classification process.
De Paz, Juan F., Bajo Pérez, Javier, Rodríguez González, Sara, Corchado Rodríguez, Juan Manuel   +3 more
openaire   +2 more sources

New array approaches to explore single cells genomes

Frontiers in Genetics, 2012
Microarray analysis enables the genome wide detection of copy number variations and the investigation of chromosomal instability. Whereas array techniques have been well established for the analysis of unamplified DNA derived from many cells, it has been
Evelyne eVanneste, Lilach eBittman, Niels eVan der Aa, Thierry eVoet, Joris Robert Vermeesch   +4 more
doaj   +1 more source

Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR – how well do they correlate?

BMC Genomics, 2005
Background The use of microarray technology to assess gene expression levels is now widespread in biology. The validation of microarray results using independent mRNA quantitation techniques remains a desirable element of any microarray experiment.
Boag Joanne M, Freitas Joseph R, Terry Philippa A, Hoffmann Katrin, Beesley Alex H, Firth Martin J, Gottardo Nicholas G, Dallas Peter B, Cummings Aaron J, Kees Ursula R   +9 more
doaj   +1 more source

Bioinformatics Techniques in Microarray Research: Applied Microarray Data Analysis Using R and SAS Software [PDF]

, 2010
Exploration of the underlying biological mechanisms of disease is useful for many purposes such as the development of novel treatment modalities in addition to informing on-going risk factor research. DNA-microarray technology is a relatively recent and novel approach to conducting genome-wide gene expression studies to identify previously unknown ...
Ryan T, Demmer, Paul, Pavlidis, Panos N, Papapanou   +2 more
openaire   +2 more sources

FiGS: a filter-based gene selection workbench for microarray data

BMC Bioinformatics, 2010
Background The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene selection methods are currently available and some of them have shown excellent
Yun Taegyun, Sun Choong-Hyun, Hwang Taeho, Yi Gwan-Su   +3 more
doaj   +1 more source

Pro-MAP: a robust pipeline for the pre-processing of single channel protein microarray data

BMC Bioinformatics, 2022
Background The central role of proteins in diseases has made them increasingly attractive as therapeutic targets and indicators of cellular processes. Protein microarrays are emerging as an important means of characterising protein activity.
Metoboroghene Oluwaseyi Mowoe, Shaun Garnett, Katherine Lennard, Jade Talbot, Paul Townsend, Eduard Jonas, Jonathan Michael Blackburn   +6 more
doaj   +1 more source

Evaluation of the Tissue Microarray Technique for Immunohistochemical Analysis in Rectal Cancer

Archives of Pathology & Laboratory Medicine, 2002
Abstract Background. —Immunohistochemical staining for tumor-associated proteins is widely used for the identification of novel prognostic markers. Recently, a tissue-conserving, high-throughput technique, tissue microarray, has been introduced.
Eva, Fernebro, Michael, Dictor, Pär-Ola, Bendahl, Mårten, Fernö, Mef, Nilbert   +4 more
openaire   +2 more sources

Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection

IEEE Access
Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of genes simultaneously.
Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya   +3 more
doaj   +1 more source

Optimization of Cyanine Dye Stability and Analysis of FRET Interaction on DNA Microarrays

Biology, 2016
The application of DNA microarrays for high throughput analysis of genetic regulation is often limited by the fluorophores used as markers. The implementation of multi-scan techniques is limited by the fluorophores’ susceptibility to photobleaching when ...
Marcel von der Haar, Christopher Heuer, Martin Pähler, Kathrin von der Haar, Patrick Lindner, Thomas Scheper, Frank Stahl   +6 more
doaj   +1 more source

Comparison of different probe-level analysis techniques for oligonucleotide microarrays

BioTechniques, 2004
Three different software packages for the probe-level analysis of high-density oligonucleotide microarray data were compared using an experiment-derived data set that was validated using real-time PCR. The efficiency with which these three programs could identify true positives in this data set was assessed. In addition, estimates of false-positive and
Barbara Rosati, Frederic Grau, Anneke Kuehler, Samantha Rodriguez, David McKinnon   +4 more
openaire   +3 more sources