Results 71 to 80 of about 188,901 (238)

Web-based Tools for the Analysis of DNA Microarrays [PDF]

, 2008
End of project reportDNA microarrays are widely used for gene expression profiling. Raw data resulting from microarray experiments, however, tends to be very noisy and there are many sources of technical variation and bias.
Geeleher, P., Golden, A., Hinde, J., Morris, Dermot G.   +3 more
core  

Physico-chemical foundations underpinning microarray and next-generation sequencing experiments [PDF]

, 2013
Hybridization of nucleic acids on solid surfaces is a key process involved in high-throughput technologies such as microarrays and, in some cases, next-generation sequencing (NGS).
A. Buhot, A. E. Pozhitkov, A. Halperin, A. Harrison, A. Ott, Amend, B. M. Pettitt, Berger, Binder, Binder, Binder, Binder, Bolstad, Bullard, Burden, Burden, C. Gibas, C. J. Burden, Chou, Chou, Czypionka, D. P. Kreil, D. Tautz, E. Carlon, Fasold, Fasold, Fiche, Fuchs, H. Binder, Halperin, Harr, Harrison, He, Heim, Held, Hooyberghs, Huettel, Iltumur, Irizarry, Irizarry, Irizarry, Irving, J. Hooyberghs, Kane, L. J. Gamble, Lee, Lee, Letowski, Li, Liebich, Lockhart, Luebke, Marshall, Matveeva, Mueckstein, Mulders, Naiser, Naiser, P. A. Noble, Pingel, Pozhitkov, R. Levicky, Relogio, Rouillard, Tanaka, Trapp, Upton, Vainrub, Wodicka, Yu, Zhang   +70 more
core   +3 more sources

Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays

BMC Bioinformatics, 2010
Background Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays ...
Bajgot Mateja, Stiglic Gregor, Kokol Peter   +2 more
doaj   +1 more source

Assessing similarity of feature selection techniques in high-dimensional domains [PDF]

, 2013
Recent research efforts attempt to combine multiple feature selection techniques instead of using a single one. However, this combination is often made on an “ad hoc” basis, depending on the specific problem at hand, without considering the degree of ...
CANNAS LM, DESSI, NICOLETTA, PES, BARBARA   +2 more
core   +1 more source

Multi-membership gene regulation in pathway based microarray analysis [PDF]

, 2011
This article is available through the Brunel Open Access Publishing Fund. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use,
A Goesmann, AB Khodursky, Annette M Payne, AP Gasch, D Cavalieri, D Greenbaum, E Panteris, FA Kolpakov, FR Blattner, G Russo, I Rojas, JH Holland, JL DeRisi, KD Dahlquist, L Stryer, M Kanehisa, M Quadroni, M Schena, P Grosu, P Shannon, PC Champe, PD Karp, R Hamming, RK Brouwer, S Kirkpatrick, S Pavlidis, S Swift, SJ Russell, Stelios P Pavlidis, Stephen M Swift, T Toyoda, Z Michalewicz   +31 more
core   +3 more sources

Robust gene selection methods using weighting schemes for microarray data analysis

BMC Bioinformatics, 2017
Background A common task in microarray data analysis is to identify informative genes that are differentially expressed between two different states. Owing to the high-dimensional nature of microarray data, identification of significant genes has been ...
Suyeon Kang, Jongwoo Song
doaj   +1 more source

Comparability of Microarray Data between Amplified and Non Amplified RNA in Colorectal Carcinoma [PDF]

, 2009
Microarray analysis reaches increasing popularity during the investigation of prognostic gene clusters in oncology. The standardisation of technical procedures will be essential to compare various datasets produced by different research groups.
Brueckl, WM, Croner, RS, Dimmler, A, Hahn, EG, Hohenberger, W, Lausen, B, Papadopoulos, T, Schellerer, V, Schildberg, C, Wein, A, Zeittraeger, I   +10 more
core   +4 more sources

Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

Theoretical Biology and Medical Modelling, 2014
Extracting relevant information from microarray data is a very complex task due to the characteristics of the data sets, as they comprise a large number of features while few samples are generally available.
R. M. Luque-Baena, Daniel Urda, J. Subirats, Leonardo Franco, J. Jerez   +4 more
semanticscholar   +1 more source

DNA microarray technology in medical diagnostics

Zdravniški Vestnik, 2007
Background: DNA microarray technology opened a completely new venue in the biomedical research. By allowing to follow the expression of thousands of genes in a single experiment (ideally we can follow the expression of the entire genome), the microarray ...
Damjana Rozman, Peter Juvan
doaj  

Triple-target microarray experiments: a novel experimental strategy

BMC Genomics, 2004
Background High-throughput, parallel gene expression analysis by means of microarray technology has become a widely used technique in recent years. There are currently two main dye-labelling strategies for microarray studies based on custom-spotted cDNA ...
Cooke Howard J, Roy Douglas, Costa Yael, Forster Thorsten, Maratou Klio   +4 more
doaj   +1 more source