Results 11 to 20 of about 27,010,024 (292)

Association Analysis Techniques for Discovering Functional Modules from Microarray Data [PDF]

open access: yesNature Precedings, 2008
AbstractAn application of great interest in microarray data analysis is the identification of a group of genes that show very similar patterns of expression in a data set, and are expected to represent groups of genes that perform common/similar functions, also known as functional modules.
Gaurav Pandey   +3 more
core   +3 more sources

EMMA 2 – A MAGE-compliant system for the collaborative analysis and integration of microarray data [PDF]

open access: yesBMC Bioinformatics, 2009
Background Understanding transcriptional regulation by genome-wide microarray studies can contribute to unravel complex relationships between genes.
Mertens Dominik   +16 more
doaj   +2 more sources

Microarray Technique, Analysis, and Applications in Dermatology [PDF]

open access: yesJournal of Investigative Dermatology, 2013
The Human Genome Project, completed in 2003, identified the sequence of the approximately 25,000 genes that comprise the human genome. Knowledge of the structure of the human genome opened the doors to studying the actual function of specific genes, which is necessary to understanding health and disease.
Villaseñor-Park, Jennifer   +1 more
openaire   +2 more sources

Microarray image processing: A novel neural network framework [PDF]

open access: yes, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Due to the vast success of bioengineering techniques, a series of large-scale analysis tools has been developed to discover the functional organization of ...
Zineddin, Bachar
core   +6 more sources

Adaptive techniques for microarray image analysis with related quality assessment [PDF]

open access: yesJournal of Electronic Imaging, 2007
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pro- pose the microarray image rotation algorithm (MIRA) and the statis- tical gridding pipeline (SGRIP) as two advanced modules devoted to restoring the original microarray ...
Sebastiano Battiato   +4 more
openaire   +3 more sources

Visualization-based cancer microarray data classification analysis [PDF]

open access: yes, 2007
MOTIVATION: Methods for analyzing cancer microarray data often face two distinct challenges: the models they infer need to perform well when classifying new tissue samples while at the same time providing an insight into the patterns and gene ...
Minca Mramor   +7 more
core   +2 more sources

Copasetic analysis: a framework for the blind analysis of microarray imagery [PDF]

open access: yes, 2004
The official published version can be found at the link below.From its conception, bioinformatics has been a multidisciplinary field which blends domain expert knowledge with new and existing processing techniques, all of which are focused on a common ...
Liu, X, Wang, Z, Fraser, K, O'Neill, P
core   +1 more source

Information visualization for DNA microarray data analysis: A critical review [PDF]

open access: yes, 2008
Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression patterns of thousands of genes simultaneously.
Kuljis, J   +5 more
core   +1 more source

Ensemble machine learning on gene expression data for cancer classification [PDF]

open access: yes, 2003
Whole genome RNA expression studies permit systematic approaches to understanding the correlation between gene expression profiles to disease states or different developmental stages of a cell.
Tan, A C, Gilbert, D
core   +4 more sources

Identification of humoral immune responses in protein microarrays using DNA microarray data analysis techniques [PDF]

open access: yesBioinformatics, 2006
Abstract Motivation: We present a study of antigen expression signals from a newly developed high-throughput protein microarray technique. These signals are a measure of antibody–antigen binding activity and provide a basis for understanding humoral immune responses to various infectious agents and supporting vaccine and diagnostic ...
Suman Sundaresh   +7 more
openaire   +6 more sources

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